auc-roc Search Results


auc-roc  (Wolters Kluwer Health)
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auc-roc using medcalc 15.2.1  (MedCalc Software Ltd)
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Auc Roc Using Medcalc 15.2.1, 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
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auc-roc medcalc version 9.5.0  (MedCalc Software Ltd)
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auc-roc curve  (CH Instruments)
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scoring function auc-roc autodock 4.2.6  (AUTODOCK GmbH)
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Scoring Function Auc Roc Autodock 4.2.6, supplied by AUTODOCK GmbH, 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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aucroc interpretation software medcalc for windows version 9.2.0.0  (MedCalc Software Ltd)
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receiver operating characteristic (roc) procedure  (SPSS Inc)
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SPSS Inc receiver operating characteristic (roc) procedure
Receiver Operating Characteristic (Roc) Procedure, supplied by SPSS 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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auc roc  (Johns Hopkins HealthCare)
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Johns Hopkins HealthCare auc roc
Model Performance at Different Institutions: Predictions Using Full Information without Calibration *
Auc Roc, supplied by Johns Hopkins HealthCare, 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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fluid analyzer auc roc hf-bfa cut-off point  (Sysmex Corporation)
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Sysmex Corporation fluid analyzer auc roc hf-bfa cut-off point
Model Performance at Different Institutions: Predictions Using Full Information without Calibration *
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aucroc values  (GraphPad Software Inc)
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GraphPad Software Inc aucroc values
Model Performance at Different Institutions: Predictions Using Full Information without Calibration *
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aucroc  (Ramco Laboratories Inc)
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Ramco Laboratories Inc aucroc
Model Performance at Different Institutions: Predictions Using Full Information without Calibration *
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Image Search Results


Model Performance at Different Institutions: Predictions Using Full Information without Calibration *

Journal: American Journal of Respiratory and Critical Care Medicine

Article Title: A Prediction Model to Help with the Assessment of Adenopathy in Lung Cancer: HAL

doi: 10.1164/rccm.201607-1397OC

Figure Lengend Snippet: Model Performance at Different Institutions: Predictions Using Full Information without Calibration *

Article Snippet: The AUC for different institutions ranged from 0.82 to 0.92 ( ). table ft1 table-wrap mode="anchored" t5 Table 4. caption a7 Institution Prevalence of N2 Disease in that Cohort ( % ) AUC ROC (95% CI) Hosmer-Lemeshow P Value † Brier Score ‡ MD Anderson Cancer Center (development cohort) 160/633 (25) 0.86 (0.82–0.89) 0.62 0.125 Cleveland Clinic (validation) 87/310 (28) 0.87 (0.83–0.91) 0.03 0.129 Johns Hopkins (validation) 107/186 (58) 0.82 (0.76–0.89) <0.001 0.181 Henry Ford Hospital (validation) 102/226 (45) 0.92 (0.88–0.95) <0.001 0.139 Open in a separate window Definition of abbreviations : AUC ROC = area under the receiver operating characteristic curve; CI = confidence interval.

Techniques: Biomarker Discovery

Model Performance When Used on External Validation Cohort for Different Clinical Scenarios

Journal: American Journal of Respiratory and Critical Care Medicine

Article Title: A Prediction Model to Help with the Assessment of Adenopathy in Lung Cancer: HAL

doi: 10.1164/rccm.201607-1397OC

Figure Lengend Snippet: Model Performance When Used on External Validation Cohort for Different Clinical Scenarios

Article Snippet: The AUC for different institutions ranged from 0.82 to 0.92 ( ). table ft1 table-wrap mode="anchored" t5 Table 4. caption a7 Institution Prevalence of N2 Disease in that Cohort ( % ) AUC ROC (95% CI) Hosmer-Lemeshow P Value † Brier Score ‡ MD Anderson Cancer Center (development cohort) 160/633 (25) 0.86 (0.82–0.89) 0.62 0.125 Cleveland Clinic (validation) 87/310 (28) 0.87 (0.83–0.91) 0.03 0.129 Johns Hopkins (validation) 107/186 (58) 0.82 (0.76–0.89) <0.001 0.181 Henry Ford Hospital (validation) 102/226 (45) 0.92 (0.88–0.95) <0.001 0.139 Open in a separate window Definition of abbreviations : AUC ROC = area under the receiver operating characteristic curve; CI = confidence interval.

Techniques: Biomarker Discovery