neural network based classifier Search Results


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huanglongbing detection method for orange trees based on deep neural networks and transfer learning  (IEEE Access)
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neural network-based nen model  (NEN Life Science)
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neural network-based gapso  (Capso Vision Inc)
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lightweight neural network model based on the lfiem (unifi modification)  (Unifi Inc)
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neural network-based framework  (Neurophysics Corp)
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graph neural network-based ensemble predicting model  (MultiTarget Pharmaceuticals)
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Image Search Results


Comparison of the diagnostic properties of the models/scores at a sensitivity threshold of nearest 95%.

Journal: Frontiers in Medicine

Article Title: Development and Validation of a Simplified Prehospital Triage Model Using Neural Network to Predict Mortality in Trauma Patients: The Ability to Follow Commands, Age, Pulse Rate, Systolic Blood Pressure and Peripheral Oxygen Saturation (CAPSO) Model

doi: 10.3389/fmed.2021.810195

Figure Lengend Snippet: Comparison of the diagnostic properties of the models/scores at a sensitivity threshold of nearest 95%.

Article Snippet: Based on the neural network algorithm, three models were developed using three sets of variable combinations respectively, including neural network-based GAPSO (NN-GAPSO), neural network-based CAPSO (NN-CAPSO), and neural network-based CAPO (NN-CAPO).

Techniques: Comparison, Diagnostic Assay

The discrimination of models/scores in the validation cohort. (A) Receiver operating characteristic curves for newly developed models; (B) receiver operating characteristic curves for trauma scores; (C) p values for a two-by-two comparison between different models and scores. NN , Neural network; GAPSO , Glasgow Coma Scale, Age, Pulse Rate, Systolic Blood Pressure, and Peripheral Oxygen saturation; CAPSO , the Ability to Follow Commands, Age, Pulse Rate, Systolic Blood Pressure, and Peripheral Oxygen saturation; CAPO , the Ability to Follow Commands, Age, Pulse Rate, and Peripheral Oxygen saturation; RTS , Revised Trauma Score; NTS , New Trauma Score; MGAP , Mechanism, Glasgow Coma Scale, Age, and Arterial Pressure; GAP , Glasgow Coma Scale, Age, and Systolic Blood Pressure score; TRIAGES , Trauma Rating Index in Age, Glasgow Coma Scale, Respiratory rate and Systolic blood pressure; TRISS , Trauma and Injury Severity Score.

Journal: Frontiers in Medicine

Article Title: Development and Validation of a Simplified Prehospital Triage Model Using Neural Network to Predict Mortality in Trauma Patients: The Ability to Follow Commands, Age, Pulse Rate, Systolic Blood Pressure and Peripheral Oxygen Saturation (CAPSO) Model

doi: 10.3389/fmed.2021.810195

Figure Lengend Snippet: The discrimination of models/scores in the validation cohort. (A) Receiver operating characteristic curves for newly developed models; (B) receiver operating characteristic curves for trauma scores; (C) p values for a two-by-two comparison between different models and scores. NN , Neural network; GAPSO , Glasgow Coma Scale, Age, Pulse Rate, Systolic Blood Pressure, and Peripheral Oxygen saturation; CAPSO , the Ability to Follow Commands, Age, Pulse Rate, Systolic Blood Pressure, and Peripheral Oxygen saturation; CAPO , the Ability to Follow Commands, Age, Pulse Rate, and Peripheral Oxygen saturation; RTS , Revised Trauma Score; NTS , New Trauma Score; MGAP , Mechanism, Glasgow Coma Scale, Age, and Arterial Pressure; GAP , Glasgow Coma Scale, Age, and Systolic Blood Pressure score; TRIAGES , Trauma Rating Index in Age, Glasgow Coma Scale, Respiratory rate and Systolic blood pressure; TRISS , Trauma and Injury Severity Score.

Article Snippet: Based on the neural network algorithm, three models were developed using three sets of variable combinations respectively, including neural network-based GAPSO (NN-GAPSO), neural network-based CAPSO (NN-CAPSO), and neural network-based CAPO (NN-CAPO).

Techniques: Biomarker Discovery, Comparison

Calibration curves of newly developed models (A) and trauma scores (B) in the validation cohort. NN , Neural network; GAPSO , Glasgow Coma Scale, Age, Pulse Rate, Systolic Blood Pressure, and Peripheral Oxygen saturation; CAPSO , the Ability to Follow Commands, Age, Pulse Rate, Systolic Blood Pressure, and Peripheral Oxygen saturation; CAPO , the Ability to Follow Commands, Age, Pulse Rate, and Peripheral Oxygen saturation; RTS , Revised Trauma Score; NTS , New Trauma Score; MGAP , Mechanism, Glasgow Coma Scale, Age, and Arterial Pressure; GAP , Glasgow Coma Scale, Age, and Systolic Blood Pressure Score; TRIAGES , Trauma Rating Index in Age, Glasgow Coma Scale, Respiratory rate and Systolic blood pressure; TRISS , Trauma and Injury Severity Score.

Journal: Frontiers in Medicine

Article Title: Development and Validation of a Simplified Prehospital Triage Model Using Neural Network to Predict Mortality in Trauma Patients: The Ability to Follow Commands, Age, Pulse Rate, Systolic Blood Pressure and Peripheral Oxygen Saturation (CAPSO) Model

doi: 10.3389/fmed.2021.810195

Figure Lengend Snippet: Calibration curves of newly developed models (A) and trauma scores (B) in the validation cohort. NN , Neural network; GAPSO , Glasgow Coma Scale, Age, Pulse Rate, Systolic Blood Pressure, and Peripheral Oxygen saturation; CAPSO , the Ability to Follow Commands, Age, Pulse Rate, Systolic Blood Pressure, and Peripheral Oxygen saturation; CAPO , the Ability to Follow Commands, Age, Pulse Rate, and Peripheral Oxygen saturation; RTS , Revised Trauma Score; NTS , New Trauma Score; MGAP , Mechanism, Glasgow Coma Scale, Age, and Arterial Pressure; GAP , Glasgow Coma Scale, Age, and Systolic Blood Pressure Score; TRIAGES , Trauma Rating Index in Age, Glasgow Coma Scale, Respiratory rate and Systolic blood pressure; TRISS , Trauma and Injury Severity Score.

Article Snippet: Based on the neural network algorithm, three models were developed using three sets of variable combinations respectively, including neural network-based GAPSO (NN-GAPSO), neural network-based CAPSO (NN-CAPSO), and neural network-based CAPO (NN-CAPO).

Techniques: Biomarker Discovery

Reclassification of severity between NN-CAPSO and other scoring systems in the randomly selected validation cohort <xref ref-type= a ." width="100%" height="100%">

Journal: Frontiers in Medicine

Article Title: Development and Validation of a Simplified Prehospital Triage Model Using Neural Network to Predict Mortality in Trauma Patients: The Ability to Follow Commands, Age, Pulse Rate, Systolic Blood Pressure and Peripheral Oxygen Saturation (CAPSO) Model

doi: 10.3389/fmed.2021.810195

Figure Lengend Snippet: Reclassification of severity between NN-CAPSO and other scoring systems in the randomly selected validation cohort a .

Article Snippet: Based on the neural network algorithm, three models were developed using three sets of variable combinations respectively, including neural network-based GAPSO (NN-GAPSO), neural network-based CAPSO (NN-CAPSO), and neural network-based CAPO (NN-CAPO).

Techniques: Biomarker Discovery