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Reliable Prediction Models Based on Enriched Data for Identifying the Mode of Childbirth by Using Machine Learning Methods: Development Study.

Journal of medical Internet research Jun 4, 2021
BACKGROUND: The use of artificial intelligence has revolutionized every area of life such as business and trade, social and electronic media, education and learning, manufacturing industries, medicine and sciences, and every other sector. The new ref...
Pregnancy Female Maternal Health Services ROC Curve Parturition Humans Artificial Intelligence Machine Learning
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Natural language processing for the surveillance of postoperative venous thromboembolism.

Surgery Jun 3, 2021
BACKGROUND: The objective of this study was to develop a portal natural language processing approach to aid in the identification of postoperative venous thromboembolism events from free-text clinical notes.
Cohort Studies ROC Curve Venous Thrombosis Natural Language Processing Female Quality Improvement Male Humans Middle Aged Retrospective Studies Postoperative Complications
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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...
Dry Eye Syndromes Ophthalmologists Pterygium ROC Curve Microscopy, Confocal Models, Theoretical Area Under Curve Keratitis Diagnosis, Computer-Assisted Deep Learning Humans Dendritic Cells Sensitivity and Specificity Cornea
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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.
Humans Retrospective Studies Hospitalization Risk Assessment Machine Learning Databases, Factual Treatment Outcome ROC Curve Area Under Curve Logistic Models Medicare United States Mortality Models, Theoretical
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An Effective Method for Detecting and Classifying Diabetic Retinopathy Lesions Based on Deep Learning.

Computational and mathematical methods in medicine May 31, 2021
Diabetic retinopathy occurs as a result of the harmful effects of diabetes on the eyes. Diabetic retinopathy is also a disease that should be diagnosed early. If not treated early, vision loss may occur. It is estimated that one third of more than ha...
Fundus Oculi Diagnosis, Computer-Assisted Humans Image Interpretation, Computer-Assisted Deep Learning Optic Disk Diabetic Retinopathy ROC Curve Ophthalmoscopy Neural Networks, Computer Computational Biology Databases, Factual
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i4mC-EL: Identifying DNA N4-Methylcytosine Sites in the Mouse Genome Using Ensemble Learning.

BioMed research international May 29, 2021
As one of important epigenetic modifications, DNA N4-methylcytosine (4mC) plays a crucial role in controlling gene replication, expression, cell cycle, DNA replication, and differentiation. The accurate identification of 4mC sites is necessary to und...
DNA Methylation Machine Learning Area Under Curve Genetic Techniques Internet Algorithms ROC Curve Cytosine Data Mining Mice Reproducibility of Results DNA Base Sequence Animals Computational Biology Bayes Theorem Genome Epigenesis, Genetic
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Prediction of Major Complications and Readmission After Lumbar Spinal Fusion: A Machine Learning-Driven Approach.

World neurosurgery May 28, 2021
BACKGROUND: Given the significant cost and morbidity of patients undergoing lumbar fusion, accurate preoperative risk-stratification would be of great utility. We aim to develop a machine learning model for prediction of major complications and readm...
Spinal Fusion Lumbar Vertebrae Patient Readmission Humans Machine Learning Algorithms Treatment Outcome Retrospective Studies Risk Assessment Models, Statistical Aged Female Postoperative Complications Predictive Value of Tests Male Risk Factors ROC Curve Area Under Curve Middle Aged Logistic Models
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A deep learning system for detecting diabetic retinopathy across the disease spectrum.

Nature communications May 28, 2021
Retinal screening contributes to early detection of diabetic retinopathy and timely treatment. To facilitate the screening process, we develop a deep learning system, named DeepDR, that can detect early-to-late stages of diabetic retinopathy. DeepDR ...
Diabetes Mellitus, Type 2 Fundus Oculi Image Interpretation, Computer-Assisted Datasets as Topic Humans Severity of Illness Index Deep Learning ROC Curve Diabetic Retinopathy Aged
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Machine learning prediction of sleep stages in dairy cows from heart rate and muscle activity measures.

Scientific reports May 25, 2021
Sleep is important for cow health and shows promise as a tool for assessing welfare, but methods to accurately distinguish between important sleep stages are difficult and impractical to use with cattle in typical farm environments. The objective of ...
Neural Networks, Computer Machine Learning Animals Cattle Polysomnography Sleep Stages ROC Curve Myocardium Models, Biological Heart Rate
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COVID-19 diagnosis by routine blood tests using machine learning.

Scientific reports May 24, 2021
Physicians taking care of patients with COVID-19 have described different changes in routine blood parameters. However, these changes hinder them from performing COVID-19 diagnoses. We constructed a machine learning model for COVID-19 diagnosis that ...
Humans Machine Learning COVID-19 ROC Curve Aged Area Under Curve Sensitivity and Specificity Eosinophils Biomarkers Male Hematologic Tests Thorax Tomography, X-Ray Computed Severity of Illness Index Female Serum Albumin SARS-CoV-2 Prothrombin
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