AIMC Topic: Area Under Curve

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Performance of Machine Learning Algorithms for Predicting Progression to Dementia in Memory Clinic Patients.

JAMA network open Dec 1, 2021
IMPORTANCE: Machine learning algorithms could be used as the basis for clinical decision-making aids to enhance clinical practice.
Humans Machine Learning Prospective Studies Prognosis Female Risk Factors Cognitive Dysfunction Dementia Incidence United States Predictive Value of Tests Area Under Curve Aged Sensitivity and Specificity Male Risk Assessment Disease Progression
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CRNNTL: Convolutional Recurrent Neural Network and Transfer Learning for QSAR Modeling in Organic Drug and Material Discovery.

Molecules (Basel, Switzerland) Nov 30, 2021
Molecular latent representations, derived from autoencoders (AEs), have been widely used for drug or material discovery over the past couple of years. In particular, a variety of machine learning methods based on latent representations have shown exc...
ROC Curve Organic Chemicals Databases as Topic Models, Theoretical Quantitative Structure-Activity Relationship Binding Sites Regression Analysis Neural Networks, Computer Area Under Curve Drug Discovery Isomerism
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Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma.

BMC cancer Nov 24, 2021
BACKGROUND: Radiomics may provide more objective and accurate predictions for extrahepatic cholangiocarcinoma (ECC). In this study, we developed radiomics models based on magnetic resonance imaging (MRI) and machine learning to preoperatively predict...
Humans Machine Learning Algorithms Retrospective Studies Female Aged Aged, 80 and over Adult Sensitivity and Specificity Male Magnetic Resonance Imaging Middle Aged Predictive Value of Tests ROC Curve Area Under Curve Adenocarcinoma Neoplasm Grading Lymphatic Metastasis Bile Duct Neoplasms Cholangiocarcinoma
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Analyzing artificial intelligence systems for the prediction of atrial fibrillation from sinus-rhythm ECGs including demographics and feature visualization.

Scientific reports Nov 23, 2021
Atrial fibrillation (AF) is an abnormal heart rhythm, asymptomatic in many cases, that causes several health problems and mortality in population. This retrospective study evaluates the ability of different AI-based models to predict future episodes ...
Registries Atrial Fibrillation Heart Rate Demography Middle Aged Adolescent Electrocardiography Follow-Up Studies Area Under Curve Humans Artificial Intelligence Prognosis Retrospective Studies Female Risk Factors Aged Aged, 80 and over Young Adult Adult Male
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Detecting immunotherapy-sensitive subtype in gastric cancer using histologic image-based deep learning.

Scientific reports Nov 22, 2021
Immune checkpoint inhibitor (ICI) therapy is widely used but effective only in a subset of gastric cancers. Epstein-Barr virus (EBV)-positive and microsatellite instability (MSI) / mismatch repair deficient (dMMR) tumors have been reported to be high...
Lymphocytosis Area Under Curve Microsatellite Instability DNA Mismatch Repair Immunohistochemistry Genome, Human Neural Networks, Computer Machine Learning Software Algorithms Databases, Factual Reproducibility of Results Stomach Neoplasms Deep Learning Immunotherapy Treatment Outcome Herpesvirus 4, Human Humans
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The new SUMPOT to predict postoperative complications using an Artificial Neural Network.

Scientific reports Nov 22, 2021
An accurate assessment of preoperative risk may improve use of hospital resources and reduce morbidity and mortality in high-risk surgical patients. This study aims at implementing an automated surgical risk calculator based on Artificial Neural Netw...
Humans Neural Networks, Computer Machine Learning Prognosis Retrospective Studies Middle Aged Risk Assessment Postoperative Complications Cohort Studies ROC Curve Predictive Value of Tests Intensive Care Units Female Risk Factors Hospitalization Male Area Under Curve Elective Surgical Procedures Emergency Treatment
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Machine learning approach for the prediction of postpartum hemorrhage in vaginal birth.

Scientific reports Nov 19, 2021
Postpartum hemorrhage is the leading cause of maternal morbidity. Clinical prediction of postpartum hemorrhage remains challenging, particularly in the case of a vaginal birth. We studied machine learning models to predict postpartum hemorrhage. Wome...
Risk Postpartum Hemorrhage Delivery, Obstetric Labor, Obstetric Tokyo Machine Learning Pregnancy Female Infant, Newborn Reproducibility of Results Adult Young Adult Logistic Models Middle Aged Humans Models, Theoretical Deep Learning Neural Networks, Computer Support Vector Machine Models, Statistical Adolescent Area Under Curve ROC Curve False Positive Reactions
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Treatment selection using prototyping in latent-space with application to depression treatment.

PloS one Nov 12, 2021
Machine-assisted treatment selection commonly follows one of two paradigms: a fully personalized paradigm which ignores any possible clustering of patients; or a sub-grouping paradigm which ignores personal differences within the identified groups. W...
Clinical Trials as Topic Antidepressive Agents Depression Humans Treatment Outcome Precision Medicine Area Under Curve Clinical Decision-Making Remission Induction Depressive Disorder, Major Drug Therapy, Combination Deep Learning
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Natural language processing of head CT reports to identify intracranial mass effect: CTIME algorithm.

The American journal of emergency medicine Nov 9, 2021
BACKGROUND: The Mortality Probability Model (MPM) is used in research and quality improvement to adjust for severity of illness and can also inform triage decisions. However, a limitation for its automated use or application is that it includes the v...
Natural Language Processing Area Under Curve Tomography, X-Ray Computed Electronic Health Records Brain Neoplasms ROC Curve Humans Logistic Models Machine Learning
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Accuracy of deep learning-based computed tomography diagnostic system for COVID-19: A consecutive sampling external validation cohort study.

PloS one Nov 4, 2021
Ali-M3, an artificial intelligence program, analyzes chest computed tomography (CT) and detects the likelihood of coronavirus disease (COVID-19) based on scores ranging from 0 to 1. However, Ali-M3 has not been externally validated. Our aim was to ev...
Deep Learning Cohort Studies Reverse Transcriptase Polymerase Chain Reaction Humans ROC Curve Adult COVID-19 Japan Image Processing, Computer-Assisted Algorithms Sensitivity and Specificity Area Under Curve COVID-19 Testing Male Retrospective Studies Probability Middle Aged Tomography, X-Ray Computed Diagnosis, Computer-Assisted Female Reproducibility of Results SARS-CoV-2 Aged
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