AIMC Topic: Area Under Curve

Clear Filters Showing 331 to 340 of 1194 articles

Machine learning enhances the performance of short and long-term mortality prediction model in non-ST-segment elevation myocardial infarction.

Scientific reports Jun 18, 2021
Machine learning (ML) has been suggested to improve the performance of prediction models. Nevertheless, research on predicting the risk in patients with acute myocardial infarction (AMI) has been limited and showed inconsistency in the performance of...
ROC Curve Models, Theoretical Non-ST Elevated Myocardial Infarction Area Under Curve Middle Aged Risk Assessment Time Factors Hospital Mortality Humans Machine Learning Reproducibility of Results Risk Factors Aged
View on PubMed DOI

Prediction of venous thromboembolism with machine learning techniques in young-middle-aged inpatients.

Scientific reports Jun 18, 2021
Accumulating studies appear to suggest that the risk factors for venous thromboembolism (VTE) among young-middle-aged inpatients are different from those among elderly people. Therefore, the current prediction models for VTE are not applicable to you...
Disease Susceptibility Inpatients Area Under Curve Venous Thromboembolism Disease Management Humans Machine Learning Prognosis Female Young Adult Adult Male Middle Aged Adolescent Support Vector Machine
View on PubMed DOI

Machine learning models to select potential inhibitors of acetylcholinesterase activity from SistematX: a natural products database.

Molecular diversity Jun 16, 2021
Alzheimer's disease is the most common form of dementia, representing 60-70% of dementia cases. The enzyme acetylcholinesterase (AChE) cleaves the ester bonds in acetylcholine and plays an important role in the termination of acetylcholine activity a...
Humans Machine Learning Algorithms Molecular Docking Simulation Models, Molecular Workflow Molecular Dynamics Simulation Acetylcholinesterase Cholinesterase Inhibitors Drug Discovery ROC Curve Biological Products Structure-Activity Relationship Area Under Curve Cheminformatics Databases, Pharmaceutical
View on PubMed DOI

Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images.

Nature biomedical engineering Jun 15, 2021
Regular screening for the early detection of common chronic diseases might benefit from the use of deep-learning approaches, particularly in resource-poor or remote settings. Here we show that deep-learning models can be used to identify chronic kidn...
Deep Learning Metadata Blood Glucose Photography ROC Curve Diabetes Mellitus, Type 2 Renal Insufficiency, Chronic Glomerular Filtration Rate Body Mass Index Body Weight Area Under Curve Prospective Studies Retina Fundus Oculi Female Body Height Male Image Interpretation, Computer-Assisted Humans Middle Aged Neural Networks, Computer Disease Progression
View on PubMed DOI

A soft voting ensemble classifier for early prediction and diagnosis of occurrences of major adverse cardiovascular events for STEMI and NSTEMI during 2-year follow-up in patients with acute coronary syndrome.

PloS one Jun 11, 2021
OBJECTIVE: Some researchers have studied about early prediction and diagnosis of major adverse cardiovascular events (MACE), but their accuracies were not high. Therefore, this paper proposes a soft voting ensemble classifier (SVE) using machine lear...
Follow-Up Studies Non-ST Elevated Myocardial Infarction Area Under Curve ST Elevation Myocardial Infarction Acute Coronary Syndrome Female Aged Male Middle Aged ROC Curve Humans Machine Learning Algorithms Republic of Korea
View on PubMed DOI

Deep-learning based classification distinguishes sarcomatoid malignant mesotheliomas from benign spindle cell mesothelial proliferations.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Jun 10, 2021
Sarcomatoid mesothelioma is an aggressive malignancy that can be challenging to distinguish from benign spindle cell mesothelial proliferations based on biopsy, and this distinction is crucial to patient treatment and prognosis. A novel deep learning...
Humans Neural Networks, Computer Prognosis Diagnosis, Differential Area Under Curve Mesothelioma Sensitivity and Specificity Mesothelioma, Malignant Deep Learning Pleural Neoplasms ROC Curve Image Processing, Computer-Assisted Cell Proliferation
View on PubMed DOI

A deep transfer learning framework for the automated assessment of corneal inflammation on in vivo confocal microscopy images.

PloS one Jun 3, 2021
PURPOSE: Infiltration of activated dendritic cells and inflammatory cells in cornea represents an important marker for defining corneal inflammation. Deep transfer learning has presented a promising potential and is gaining more importance in compute...
Microscopy, Confocal Humans Models, Theoretical Sensitivity and Specificity Area Under Curve Dry Eye Syndromes Cornea Ophthalmologists Keratitis Diagnosis, Computer-Assisted Deep Learning Dendritic Cells ROC Curve Pterygium
View on PubMed DOI

Application of machine learning approaches to administrative claims data to predict clinical outcomes in medical and surgical patient populations.

PloS one Jun 3, 2021
OBJECTIVE: This study aimed to develop and validate a claims-based, machine learning algorithm to predict clinical outcomes across both medical and surgical patient populations.
Medicare Mortality United States Models, Theoretical Treatment Outcome Area Under Curve Retrospective Studies Hospitalization Risk Assessment ROC Curve Logistic Models Humans Machine Learning Databases, Factual
View on PubMed DOI

Convolutional neural networks to identify malformations of cortical development: A feasibility study.

Seizure May 31, 2021
OBJECTIVE: To develop and test a deep learning model to automatically detect malformations of cortical development (MCD).
Magnetic Resonance Imaging Area Under Curve Feasibility Studies Humans Neural Networks, Computer Deep Learning
View on PubMed DOI

Machine Learning Approaches to Predict Hepatotoxicity Risk in Patients Receiving Nilotinib.

Molecules (Basel, Switzerland) May 31, 2021
Although nilotinib hepatotoxicity can cause severe clinical conditions and may alter treatment plans, risk factors affecting nilotinib-induced hepatotoxicity have not been investigated. This study aimed to elucidate the factors affecting nilotinib-i...
Odds Ratio Middle Aged Risk Risk Assessment Protein Kinase Inhibitors Aged, 80 and over Antineoplastic Agents Pyrimidines Liver Young Adult Chemical and Drug Induced Liver Injury Area Under Curve Adult Male Machine Learning Retrospective Studies Female Risk Factors Aged Humans
View on PubMed DOI
Popular Topics
Recent Journals