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area under the receiver operating characteristic (roc) curve (auc)  (MedCalc Software Ltd)

 
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    MedCalc Software Ltd area under the receiver operating characteristic (roc) curve (auc)
    Area Under The Receiver Operating Characteristic (Roc) Curve (Auc), supplied by MedCalc Software Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/area+under+the+receiver+operating+characteristic+(roc)+curve+(auc)/area+under+roc+curve++auc+/pm39967041-43-30-38
    Average 90 stars, based on 1 article reviews
    area under the receiver operating characteristic (roc) curve (auc) - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Expressing:

    Article Title: Artificial intelligence as a ploy to delve into the intricate relationship between genetics and mitochondria in MASLD patients
    Article Snippet: Performance of the risk scores was rigorously evaluated using the AUC-ROC curve, with additional assessments of accuracy, sensitivity, specificity and cut-offs conducted via MedCalc software (MedCalc Software Ltd, Belgium).

    Article Title: S100 Calcium-Binding Protein A9, a Potential Novel Diagnostic Biomarker for Idiopathic Pulmonary Fibrosis.
    Article Snippet: Receiver operating characteristic (ROC) analysis was performed, and the area under the ROC curve (AUC) and cutoff values were determined using MedCalc statistical software.

    Article Title: Extending the dosing interval of COVID-19 vaccination leads to higher rates of seroconversion in people living with HIV
    Article Snippet: The predictive accuracy of the risk model was assessed using the receiver operating characteristic (ROC) curve, and the area under ROC curve (AUC) was plotted by the MedCalc software package version 18.2.1 (MedCalc Software, Ostend, Belgium) using sensitivity and specificity values ( ).

    Article Title: Feasibility of noninvasive near-infrared spectroscopy monitoring in predicting the prognosis of spontaneous intracerebral hemorrhage
    Article Snippet: The MedCalc software (version 19.0.2) was used to prepare the subject receiver operating characteristic curve (ROC), and the area under the ROC curve (AUC) was calculated to evaluate the significance of each index in predicting the prognosis of patients.

    Article Title: Identification and functional characterization of T-cell exhaustion-associated lncRNA AL031775.1 in osteosarcoma: a novel therapeutic target
    Article Snippet: ROC curves and area under the ROC curve (AUC) were calculated using MedCalc for Windows version 19.3.0 (MedCalc Software, Ostend, Belgium).

    Article Title: Diagnostic Value of Artificial Intelligence-Assistant Diagnostic System Combined With Contrast-Enhanced Ultrasound in Thyroid TI-RADS 4 Nodules.
    Article Snippet: Methods—Thyroid nodules that were evaluated as ACR TI-RADS 4 by conventional ultrasound were selected, all of which had pathological or fine needle aspiration (FNA) results.. All nodules were examined by contrast-enhanced ultrasound (CEUS) and artificial intelligence (AI) analysis.. The sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of AI, CEUS and their combined diagnosis were compared; Analyzed and compared the diagnostic efficiency of AI, CEUS and their combined diagnosis.

    Article Title: Rapid cognitive assessment: Accuracy and discriminant validity of Mini-Cog and process-based Clock Drawing Test.
    Article Snippet: Background: The Mini-Cog is a brief cognitive examination comprising a three-item memory recall and a simplified Clock Drawing Test (CDT).. There is limited research on the effects of detailed scoring criteria for the Mini-Cog on cognitive screening.. Objective: To assess the diagnostic effectiveness of three Mini-Cog versions and a new process-based CDT test in identifying mild cognitive impairment (MCI) and Alzheimer’s disease (AD) compared to cognitively normal controls (NC).

    Article Title: Profiling of Diagnostic Value of Serum CysC, β2-MG and α-Klotho in Early Acute Kidney Injury Caused by Acute Myocardial Infarction.
    Article Snippet: Objective: To decipher the diagnostic value of serum cystatin C (CysC), β2‐microglobulin (β2‐MG) and α‐Klotho in early acute kidney injury (AKI) caused by acute myocardial infarction (AMI).. Methods: This study screened 176 eligible patients and established two groups of AKI group (n= 51) and non‐AKI group (n= 125).. This study measured and compared the serum CysC, β2‐MG, α‐Klotho, serum creatinine (Scr), blood urea nitrogen (BUN), creatine kinase isoenzymes MB (CK‐MB) and cardiac troponin T (cTnI) between the two groups.

    Functional Assay:

    Article Title: Artificial intelligence as a ploy to delve into the intricate relationship between genetics and mitochondria in MASLD patients
    Article Snippet: Performance of the risk scores was rigorously evaluated using the AUC-ROC curve, with additional assessments of accuracy, sensitivity, specificity and cut-offs conducted via MedCalc software (MedCalc Software Ltd, Belgium).

    Article Title: S100 Calcium-Binding Protein A9, a Potential Novel Diagnostic Biomarker for Idiopathic Pulmonary Fibrosis.
    Article Snippet: Receiver operating characteristic (ROC) analysis was performed, and the area under the ROC curve (AUC) and cutoff values were determined using MedCalc statistical software.

    Article Title: Extending the dosing interval of COVID-19 vaccination leads to higher rates of seroconversion in people living with HIV
    Article Snippet: The predictive accuracy of the risk model was assessed using the receiver operating characteristic (ROC) curve, and the area under ROC curve (AUC) was plotted by the MedCalc software package version 18.2.1 (MedCalc Software, Ostend, Belgium) using sensitivity and specificity values ( ).

    Article Title: Feasibility of noninvasive near-infrared spectroscopy monitoring in predicting the prognosis of spontaneous intracerebral hemorrhage
    Article Snippet: The MedCalc software (version 19.0.2) was used to prepare the subject receiver operating characteristic curve (ROC), and the area under the ROC curve (AUC) was calculated to evaluate the significance of each index in predicting the prognosis of patients.

    Article Title: Identification and functional characterization of T-cell exhaustion-associated lncRNA AL031775.1 in osteosarcoma: a novel therapeutic target
    Article Snippet: ROC curves and area under the ROC curve (AUC) were calculated using MedCalc for Windows version 19.3.0 (MedCalc Software, Ostend, Belgium).

    Article Title: Diagnostic Value of Artificial Intelligence-Assistant Diagnostic System Combined With Contrast-Enhanced Ultrasound in Thyroid TI-RADS 4 Nodules.
    Article Snippet: Methods—Thyroid nodules that were evaluated as ACR TI-RADS 4 by conventional ultrasound were selected, all of which had pathological or fine needle aspiration (FNA) results.. All nodules were examined by contrast-enhanced ultrasound (CEUS) and artificial intelligence (AI) analysis.. The sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of AI, CEUS and their combined diagnosis were compared; Analyzed and compared the diagnostic efficiency of AI, CEUS and their combined diagnosis.

    Article Title: Rapid cognitive assessment: Accuracy and discriminant validity of Mini-Cog and process-based Clock Drawing Test.
    Article Snippet: Background: The Mini-Cog is a brief cognitive examination comprising a three-item memory recall and a simplified Clock Drawing Test (CDT).. There is limited research on the effects of detailed scoring criteria for the Mini-Cog on cognitive screening.. Objective: To assess the diagnostic effectiveness of three Mini-Cog versions and a new process-based CDT test in identifying mild cognitive impairment (MCI) and Alzheimer’s disease (AD) compared to cognitively normal controls (NC).

    Article Title: Profiling of Diagnostic Value of Serum CysC, β2-MG and α-Klotho in Early Acute Kidney Injury Caused by Acute Myocardial Infarction.
    Article Snippet: Objective: To decipher the diagnostic value of serum cystatin C (CysC), β2‐microglobulin (β2‐MG) and α‐Klotho in early acute kidney injury (AKI) caused by acute myocardial infarction (AMI).. Methods: This study screened 176 eligible patients and established two groups of AKI group (n= 51) and non‐AKI group (n= 125).. This study measured and compared the serum CysC, β2‐MG, α‐Klotho, serum creatinine (Scr), blood urea nitrogen (BUN), creatine kinase isoenzymes MB (CK‐MB) and cardiac troponin T (cTnI) between the two groups.

    Biomarker Discovery:

    Article Title: Artificial intelligence as a ploy to delve into the intricate relationship between genetics and mitochondria in MASLD patients
    Article Snippet: Performance of the risk scores was rigorously evaluated using the AUC-ROC curve, with additional assessments of accuracy, sensitivity, specificity and cut-offs conducted via MedCalc software (MedCalc Software Ltd, Belgium).

    Article Title: S100 Calcium-Binding Protein A9, a Potential Novel Diagnostic Biomarker for Idiopathic Pulmonary Fibrosis.
    Article Snippet: Receiver operating characteristic (ROC) analysis was performed, and the area under the ROC curve (AUC) and cutoff values were determined using MedCalc statistical software.

    Article Title: Extending the dosing interval of COVID-19 vaccination leads to higher rates of seroconversion in people living with HIV
    Article Snippet: The predictive accuracy of the risk model was assessed using the receiver operating characteristic (ROC) curve, and the area under ROC curve (AUC) was plotted by the MedCalc software package version 18.2.1 (MedCalc Software, Ostend, Belgium) using sensitivity and specificity values ( ).

    Article Title: Feasibility of noninvasive near-infrared spectroscopy monitoring in predicting the prognosis of spontaneous intracerebral hemorrhage
    Article Snippet: The MedCalc software (version 19.0.2) was used to prepare the subject receiver operating characteristic curve (ROC), and the area under the ROC curve (AUC) was calculated to evaluate the significance of each index in predicting the prognosis of patients.

    Article Title: Identification and functional characterization of T-cell exhaustion-associated lncRNA AL031775.1 in osteosarcoma: a novel therapeutic target
    Article Snippet: ROC curves and area under the ROC curve (AUC) were calculated using MedCalc for Windows version 19.3.0 (MedCalc Software, Ostend, Belgium).

    Article Title: Diagnostic Value of Artificial Intelligence-Assistant Diagnostic System Combined With Contrast-Enhanced Ultrasound in Thyroid TI-RADS 4 Nodules.
    Article Snippet: Methods—Thyroid nodules that were evaluated as ACR TI-RADS 4 by conventional ultrasound were selected, all of which had pathological or fine needle aspiration (FNA) results.. All nodules were examined by contrast-enhanced ultrasound (CEUS) and artificial intelligence (AI) analysis.. The sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of AI, CEUS and their combined diagnosis were compared; Analyzed and compared the diagnostic efficiency of AI, CEUS and their combined diagnosis.

    Article Title: Rapid cognitive assessment: Accuracy and discriminant validity of Mini-Cog and process-based Clock Drawing Test.
    Article Snippet: Background: The Mini-Cog is a brief cognitive examination comprising a three-item memory recall and a simplified Clock Drawing Test (CDT).. There is limited research on the effects of detailed scoring criteria for the Mini-Cog on cognitive screening.. Objective: To assess the diagnostic effectiveness of three Mini-Cog versions and a new process-based CDT test in identifying mild cognitive impairment (MCI) and Alzheimer’s disease (AD) compared to cognitively normal controls (NC).

    Article Title: Profiling of Diagnostic Value of Serum CysC, β2-MG and α-Klotho in Early Acute Kidney Injury Caused by Acute Myocardial Infarction.
    Article Snippet: Objective: To decipher the diagnostic value of serum cystatin C (CysC), β2‐microglobulin (β2‐MG) and α‐Klotho in early acute kidney injury (AKI) caused by acute myocardial infarction (AMI).. Methods: This study screened 176 eligible patients and established two groups of AKI group (n= 51) and non‐AKI group (n= 125).. This study measured and compared the serum CysC, β2‐MG, α‐Klotho, serum creatinine (Scr), blood urea nitrogen (BUN), creatine kinase isoenzymes MB (CK‐MB) and cardiac troponin T (cTnI) between the two groups.

    Diagnostic Assay:

    Article Title: Artificial intelligence as a ploy to delve into the intricate relationship between genetics and mitochondria in MASLD patients
    Article Snippet: Performance of the risk scores was rigorously evaluated using the AUC-ROC curve, with additional assessments of accuracy, sensitivity, specificity and cut-offs conducted via MedCalc software (MedCalc Software Ltd, Belgium).

    Article Title: S100 Calcium-Binding Protein A9, a Potential Novel Diagnostic Biomarker for Idiopathic Pulmonary Fibrosis.
    Article Snippet: Receiver operating characteristic (ROC) analysis was performed, and the area under the ROC curve (AUC) and cutoff values were determined using MedCalc statistical software.

    Article Title: Extending the dosing interval of COVID-19 vaccination leads to higher rates of seroconversion in people living with HIV
    Article Snippet: The predictive accuracy of the risk model was assessed using the receiver operating characteristic (ROC) curve, and the area under ROC curve (AUC) was plotted by the MedCalc software package version 18.2.1 (MedCalc Software, Ostend, Belgium) using sensitivity and specificity values ( ).

    Article Title: Feasibility of noninvasive near-infrared spectroscopy monitoring in predicting the prognosis of spontaneous intracerebral hemorrhage
    Article Snippet: The MedCalc software (version 19.0.2) was used to prepare the subject receiver operating characteristic curve (ROC), and the area under the ROC curve (AUC) was calculated to evaluate the significance of each index in predicting the prognosis of patients.

    Article Title: Identification and functional characterization of T-cell exhaustion-associated lncRNA AL031775.1 in osteosarcoma: a novel therapeutic target
    Article Snippet: ROC curves and area under the ROC curve (AUC) were calculated using MedCalc for Windows version 19.3.0 (MedCalc Software, Ostend, Belgium).

    Article Title: Diagnostic Value of Artificial Intelligence-Assistant Diagnostic System Combined With Contrast-Enhanced Ultrasound in Thyroid TI-RADS 4 Nodules.
    Article Snippet: Methods—Thyroid nodules that were evaluated as ACR TI-RADS 4 by conventional ultrasound were selected, all of which had pathological or fine needle aspiration (FNA) results.. All nodules were examined by contrast-enhanced ultrasound (CEUS) and artificial intelligence (AI) analysis.. The sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of AI, CEUS and their combined diagnosis were compared; Analyzed and compared the diagnostic efficiency of AI, CEUS and their combined diagnosis.

    Article Title: Rapid cognitive assessment: Accuracy and discriminant validity of Mini-Cog and process-based Clock Drawing Test.
    Article Snippet: Background: The Mini-Cog is a brief cognitive examination comprising a three-item memory recall and a simplified Clock Drawing Test (CDT).. There is limited research on the effects of detailed scoring criteria for the Mini-Cog on cognitive screening.. Objective: To assess the diagnostic effectiveness of three Mini-Cog versions and a new process-based CDT test in identifying mild cognitive impairment (MCI) and Alzheimer’s disease (AD) compared to cognitively normal controls (NC).

    Article Title: Profiling of Diagnostic Value of Serum CysC, β2-MG and α-Klotho in Early Acute Kidney Injury Caused by Acute Myocardial Infarction.
    Article Snippet: Objective: To decipher the diagnostic value of serum cystatin C (CysC), β2‐microglobulin (β2‐MG) and α‐Klotho in early acute kidney injury (AKI) caused by acute myocardial infarction (AMI).. Methods: This study screened 176 eligible patients and established two groups of AKI group (n= 51) and non‐AKI group (n= 125).. This study measured and compared the serum CysC, β2‐MG, α‐Klotho, serum creatinine (Scr), blood urea nitrogen (BUN), creatine kinase isoenzymes MB (CK‐MB) and cardiac troponin T (cTnI) between the two groups.

    Construct:

    Article Title: Artificial intelligence as a ploy to delve into the intricate relationship between genetics and mitochondria in MASLD patients
    Article Snippet: Performance of the risk scores was rigorously evaluated using the AUC-ROC curve, with additional assessments of accuracy, sensitivity, specificity and cut-offs conducted via MedCalc software (MedCalc Software Ltd, Belgium).

    Article Title: S100 Calcium-Binding Protein A9, a Potential Novel Diagnostic Biomarker for Idiopathic Pulmonary Fibrosis.
    Article Snippet: Receiver operating characteristic (ROC) analysis was performed, and the area under the ROC curve (AUC) and cutoff values were determined using MedCalc statistical software.

    Article Title: Extending the dosing interval of COVID-19 vaccination leads to higher rates of seroconversion in people living with HIV
    Article Snippet: The predictive accuracy of the risk model was assessed using the receiver operating characteristic (ROC) curve, and the area under ROC curve (AUC) was plotted by the MedCalc software package version 18.2.1 (MedCalc Software, Ostend, Belgium) using sensitivity and specificity values ( ).

    Article Title: Feasibility of noninvasive near-infrared spectroscopy monitoring in predicting the prognosis of spontaneous intracerebral hemorrhage
    Article Snippet: The MedCalc software (version 19.0.2) was used to prepare the subject receiver operating characteristic curve (ROC), and the area under the ROC curve (AUC) was calculated to evaluate the significance of each index in predicting the prognosis of patients.

    Article Title: Identification and functional characterization of T-cell exhaustion-associated lncRNA AL031775.1 in osteosarcoma: a novel therapeutic target
    Article Snippet: ROC curves and area under the ROC curve (AUC) were calculated using MedCalc for Windows version 19.3.0 (MedCalc Software, Ostend, Belgium).

    Article Title: Diagnostic Value of Artificial Intelligence-Assistant Diagnostic System Combined With Contrast-Enhanced Ultrasound in Thyroid TI-RADS 4 Nodules.
    Article Snippet: Methods—Thyroid nodules that were evaluated as ACR TI-RADS 4 by conventional ultrasound were selected, all of which had pathological or fine needle aspiration (FNA) results.. All nodules were examined by contrast-enhanced ultrasound (CEUS) and artificial intelligence (AI) analysis.. The sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of AI, CEUS and their combined diagnosis were compared; Analyzed and compared the diagnostic efficiency of AI, CEUS and their combined diagnosis.

    Article Title: Rapid cognitive assessment: Accuracy and discriminant validity of Mini-Cog and process-based Clock Drawing Test.
    Article Snippet: Background: The Mini-Cog is a brief cognitive examination comprising a three-item memory recall and a simplified Clock Drawing Test (CDT).. There is limited research on the effects of detailed scoring criteria for the Mini-Cog on cognitive screening.. Objective: To assess the diagnostic effectiveness of three Mini-Cog versions and a new process-based CDT test in identifying mild cognitive impairment (MCI) and Alzheimer’s disease (AD) compared to cognitively normal controls (NC).

    Article Title: Profiling of Diagnostic Value of Serum CysC, β2-MG and α-Klotho in Early Acute Kidney Injury Caused by Acute Myocardial Infarction.
    Article Snippet: Objective: To decipher the diagnostic value of serum cystatin C (CysC), β2‐microglobulin (β2‐MG) and α‐Klotho in early acute kidney injury (AKI) caused by acute myocardial infarction (AMI).. Methods: This study screened 176 eligible patients and established two groups of AKI group (n= 51) and non‐AKI group (n= 125).. This study measured and compared the serum CysC, β2‐MG, α‐Klotho, serum creatinine (Scr), blood urea nitrogen (BUN), creatine kinase isoenzymes MB (CK‐MB) and cardiac troponin T (cTnI) between the two groups.

    Comparison:

    Article Title: Artificial intelligence as a ploy to delve into the intricate relationship between genetics and mitochondria in MASLD patients
    Article Snippet: Performance of the risk scores was rigorously evaluated using the AUC-ROC curve, with additional assessments of accuracy, sensitivity, specificity and cut-offs conducted via MedCalc software (MedCalc Software Ltd, Belgium).

    Article Title: S100 Calcium-Binding Protein A9, a Potential Novel Diagnostic Biomarker for Idiopathic Pulmonary Fibrosis.
    Article Snippet: Receiver operating characteristic (ROC) analysis was performed, and the area under the ROC curve (AUC) and cutoff values were determined using MedCalc statistical software.

    Article Title: Extending the dosing interval of COVID-19 vaccination leads to higher rates of seroconversion in people living with HIV
    Article Snippet: The predictive accuracy of the risk model was assessed using the receiver operating characteristic (ROC) curve, and the area under ROC curve (AUC) was plotted by the MedCalc software package version 18.2.1 (MedCalc Software, Ostend, Belgium) using sensitivity and specificity values ( ).

    Article Title: Feasibility of noninvasive near-infrared spectroscopy monitoring in predicting the prognosis of spontaneous intracerebral hemorrhage
    Article Snippet: The MedCalc software (version 19.0.2) was used to prepare the subject receiver operating characteristic curve (ROC), and the area under the ROC curve (AUC) was calculated to evaluate the significance of each index in predicting the prognosis of patients.

    Article Title: Identification and functional characterization of T-cell exhaustion-associated lncRNA AL031775.1 in osteosarcoma: a novel therapeutic target
    Article Snippet: ROC curves and area under the ROC curve (AUC) were calculated using MedCalc for Windows version 19.3.0 (MedCalc Software, Ostend, Belgium).

    Article Title: Diagnostic Value of Artificial Intelligence-Assistant Diagnostic System Combined With Contrast-Enhanced Ultrasound in Thyroid TI-RADS 4 Nodules.
    Article Snippet: Methods—Thyroid nodules that were evaluated as ACR TI-RADS 4 by conventional ultrasound were selected, all of which had pathological or fine needle aspiration (FNA) results.. All nodules were examined by contrast-enhanced ultrasound (CEUS) and artificial intelligence (AI) analysis.. The sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of AI, CEUS and their combined diagnosis were compared; Analyzed and compared the diagnostic efficiency of AI, CEUS and their combined diagnosis.

    Article Title: Rapid cognitive assessment: Accuracy and discriminant validity of Mini-Cog and process-based Clock Drawing Test.
    Article Snippet: Background: The Mini-Cog is a brief cognitive examination comprising a three-item memory recall and a simplified Clock Drawing Test (CDT).. There is limited research on the effects of detailed scoring criteria for the Mini-Cog on cognitive screening.. Objective: To assess the diagnostic effectiveness of three Mini-Cog versions and a new process-based CDT test in identifying mild cognitive impairment (MCI) and Alzheimer’s disease (AD) compared to cognitively normal controls (NC).

    Article Title: Profiling of Diagnostic Value of Serum CysC, β2-MG and α-Klotho in Early Acute Kidney Injury Caused by Acute Myocardial Infarction.
    Article Snippet: Objective: To decipher the diagnostic value of serum cystatin C (CysC), β2‐microglobulin (β2‐MG) and α‐Klotho in early acute kidney injury (AKI) caused by acute myocardial infarction (AMI).. Methods: This study screened 176 eligible patients and established two groups of AKI group (n= 51) and non‐AKI group (n= 125).. This study measured and compared the serum CysC, β2‐MG, α‐Klotho, serum creatinine (Scr), blood urea nitrogen (BUN), creatine kinase isoenzymes MB (CK‐MB) and cardiac troponin T (cTnI) between the two groups.

    Software:

    Article Title: Artificial intelligence as a ploy to delve into the intricate relationship between genetics and mitochondria in MASLD patients
    Article Snippet: Performance of the risk scores was rigorously evaluated using the AUC-ROC curve, with additional assessments of accuracy, sensitivity, specificity and cut-offs conducted via MedCalc software (MedCalc Software Ltd, Belgium).

    Article Title: S100 Calcium-Binding Protein A9, a Potential Novel Diagnostic Biomarker for Idiopathic Pulmonary Fibrosis.
    Article Snippet: Receiver operating characteristic (ROC) analysis was performed, and the area under the ROC curve (AUC) and cutoff values were determined using MedCalc statistical software.

    Article Title: Extending the dosing interval of COVID-19 vaccination leads to higher rates of seroconversion in people living with HIV
    Article Snippet: The predictive accuracy of the risk model was assessed using the receiver operating characteristic (ROC) curve, and the area under ROC curve (AUC) was plotted by the MedCalc software package version 18.2.1 (MedCalc Software, Ostend, Belgium) using sensitivity and specificity values ( ).

    Article Title: Feasibility of noninvasive near-infrared spectroscopy monitoring in predicting the prognosis of spontaneous intracerebral hemorrhage
    Article Snippet: The MedCalc software (version 19.0.2) was used to prepare the subject receiver operating characteristic curve (ROC), and the area under the ROC curve (AUC) was calculated to evaluate the significance of each index in predicting the prognosis of patients.

    Article Title: Identification and functional characterization of T-cell exhaustion-associated lncRNA AL031775.1 in osteosarcoma: a novel therapeutic target
    Article Snippet: ROC curves and area under the ROC curve (AUC) were calculated using MedCalc for Windows version 19.3.0 (MedCalc Software, Ostend, Belgium).

    Article Title: Diagnostic Value of Artificial Intelligence-Assistant Diagnostic System Combined With Contrast-Enhanced Ultrasound in Thyroid TI-RADS 4 Nodules.
    Article Snippet: Methods—Thyroid nodules that were evaluated as ACR TI-RADS 4 by conventional ultrasound were selected, all of which had pathological or fine needle aspiration (FNA) results.. All nodules were examined by contrast-enhanced ultrasound (CEUS) and artificial intelligence (AI) analysis.. The sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of AI, CEUS and their combined diagnosis were compared; Analyzed and compared the diagnostic efficiency of AI, CEUS and their combined diagnosis.

    Article Title: Rapid cognitive assessment: Accuracy and discriminant validity of Mini-Cog and process-based Clock Drawing Test.
    Article Snippet: Background: The Mini-Cog is a brief cognitive examination comprising a three-item memory recall and a simplified Clock Drawing Test (CDT).. There is limited research on the effects of detailed scoring criteria for the Mini-Cog on cognitive screening.. Objective: To assess the diagnostic effectiveness of three Mini-Cog versions and a new process-based CDT test in identifying mild cognitive impairment (MCI) and Alzheimer’s disease (AD) compared to cognitively normal controls (NC).

    Article Title: Profiling of Diagnostic Value of Serum CysC, β2-MG and α-Klotho in Early Acute Kidney Injury Caused by Acute Myocardial Infarction.
    Article Snippet: Objective: To decipher the diagnostic value of serum cystatin C (CysC), β2‐microglobulin (β2‐MG) and α‐Klotho in early acute kidney injury (AKI) caused by acute myocardial infarction (AMI).. Methods: This study screened 176 eligible patients and established two groups of AKI group (n= 51) and non‐AKI group (n= 125).. This study measured and compared the serum CysC, β2‐MG, α‐Klotho, serum creatinine (Scr), blood urea nitrogen (BUN), creatine kinase isoenzymes MB (CK‐MB) and cardiac troponin T (cTnI) between the two groups.



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    GraphPad Software Inc area under the curve (auc) of the receiver operating characteristic (roc) curve
    Hub gene validation. (a) Venn diagram used to select the hub candidates. The key genes in the cyan module, hub nodes in the PPI of the cyan module, and the genes in the designed ceRNA network were intersected to obtain 15 common genes. (b) Sub-ceRNA network of hub genes. This network is composed of three hub genes, four lncRNAs, four miRNAs, and 13 interactions. <t>(c)</t> <t>Receiver</t> operating characteristic (ROC) curve of CYBRD1 . Area under the curve <t>(AUC)</t> = 0.7963, P = 0.01359. (d) ROC curve of GNG12 . AUC = 0.7840, P = 0.01802. (e) ROC curve of SMAD1 . AUC = 0.7377, P = 0.04773. (f) The representative result of genomes and gene set enrichment analysis (GSEA) for CYBRD1 . “Valine leucine and isoleucine degradation” is highly related to a high expression of CYBRD1 . (g) The representative result of GSEA for GNG12 . “Base excision repair” is highly related to a high expression of GNG12 . (h) The representative result of GSEA for SMAD1 . “Fatty acid metabolism” is highly related to a high expression of SMAD1 . P < 0.05 indicates significance.
    Area Under The Curve (Auc) Of The Receiver Operating Characteristic (Roc) Curve, supplied by GraphPad Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    MedCalc Software Ltd area under the curve (auc) from the receiver operating characteristic curve (roc)
    Hub gene validation. (a) Venn diagram used to select the hub candidates. The key genes in the cyan module, hub nodes in the PPI of the cyan module, and the genes in the designed ceRNA network were intersected to obtain 15 common genes. (b) Sub-ceRNA network of hub genes. This network is composed of three hub genes, four lncRNAs, four miRNAs, and 13 interactions. <t>(c)</t> <t>Receiver</t> operating characteristic (ROC) curve of CYBRD1 . Area under the curve <t>(AUC)</t> = 0.7963, P = 0.01359. (d) ROC curve of GNG12 . AUC = 0.7840, P = 0.01802. (e) ROC curve of SMAD1 . AUC = 0.7377, P = 0.04773. (f) The representative result of genomes and gene set enrichment analysis (GSEA) for CYBRD1 . “Valine leucine and isoleucine degradation” is highly related to a high expression of CYBRD1 . (g) The representative result of GSEA for GNG12 . “Base excision repair” is highly related to a high expression of GNG12 . (h) The representative result of GSEA for SMAD1 . “Fatty acid metabolism” is highly related to a high expression of SMAD1 . P < 0.05 indicates significance.
    Area Under The Curve (Auc) From The Receiver Operating Characteristic Curve (Roc), supplied by MedCalc Software Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/area+under+the+receiver+operating+characteristic+(roc)+curve+(auc)/area+under+roc+curve++auc+/pmc07577249-89-15-23
    Average 90 stars, based on 1 article reviews
    area under the curve (auc) from the receiver operating characteristic curve (roc) - by Bioz Stars, 2026-09
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    Hub gene validation. (a) Venn diagram used to select the hub candidates. The key genes in the cyan module, hub nodes in the PPI of the cyan module, and the genes in the designed ceRNA network were intersected to obtain 15 common genes. (b) Sub-ceRNA network of hub genes. This network is composed of three hub genes, four lncRNAs, four miRNAs, and 13 interactions. (c) Receiver operating characteristic (ROC) curve of CYBRD1 . Area under the curve (AUC) = 0.7963, P = 0.01359. (d) ROC curve of GNG12 . AUC = 0.7840, P = 0.01802. (e) ROC curve of SMAD1 . AUC = 0.7377, P = 0.04773. (f) The representative result of genomes and gene set enrichment analysis (GSEA) for CYBRD1 . “Valine leucine and isoleucine degradation” is highly related to a high expression of CYBRD1 . (g) The representative result of GSEA for GNG12 . “Base excision repair” is highly related to a high expression of GNG12 . (h) The representative result of GSEA for SMAD1 . “Fatty acid metabolism” is highly related to a high expression of SMAD1 . P < 0.05 indicates significance.

    Journal: Oxidative Medicine and Cellular Longevity

    Article Title: Identification of Novel Key Genes and Pathways in Multiple Sclerosis Based on Weighted Gene Coexpression Network Analysis and Long Noncoding RNA-Associated Competing Endogenous RNA Network

    doi: 10.1155/2022/9328160

    Figure Lengend Snippet: Hub gene validation. (a) Venn diagram used to select the hub candidates. The key genes in the cyan module, hub nodes in the PPI of the cyan module, and the genes in the designed ceRNA network were intersected to obtain 15 common genes. (b) Sub-ceRNA network of hub genes. This network is composed of three hub genes, four lncRNAs, four miRNAs, and 13 interactions. (c) Receiver operating characteristic (ROC) curve of CYBRD1 . Area under the curve (AUC) = 0.7963, P = 0.01359. (d) ROC curve of GNG12 . AUC = 0.7840, P = 0.01802. (e) ROC curve of SMAD1 . AUC = 0.7377, P = 0.04773. (f) The representative result of genomes and gene set enrichment analysis (GSEA) for CYBRD1 . “Valine leucine and isoleucine degradation” is highly related to a high expression of CYBRD1 . (g) The representative result of GSEA for GNG12 . “Base excision repair” is highly related to a high expression of GNG12 . (h) The representative result of GSEA for SMAD1 . “Fatty acid metabolism” is highly related to a high expression of SMAD1 . P < 0.05 indicates significance.

    Article Snippet: The diagnostic accuracy of these genes was evaluated using the area under the curve (AUC) of the receiver operating characteristic (ROC) curve using GraphPad Prism 5.0.

    Techniques: Biomarker Discovery, Expressing