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Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Identify and Estimate Survival in a Longitudinal Cohort of Patients With Lung Cancer.

JAMA network open Jul 1, 2021
IMPORTANCE: Electronic health records (EHRs) provide a low-cost means of accessing detailed longitudinal clinical data for large populations. A lung cancer cohort assembled from EHR data would be a powerful platform for clinical outcome studies.
Humans Machine Learning Algorithms Prognosis Lung Neoplasms Area Under Curve Survival Analysis Survivors Boston Electronic Health Records Female Male Cohort Studies ROC Curve
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Prediction of preterm birth in nulliparous women using logistic regression and machine learning.

PloS one Jun 30, 2021
OBJECTIVE: To predict preterm birth in nulliparous women using logistic regression and machine learning.
Ontario Logistic Models Area Under Curve Humans Parity Pregnancy Trimester, First Machine Learning Pregnancy Trimester, Second Young Adult Retrospective Studies Adult Pregnancy ROC Curve Female Premature Birth
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Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study.

The Lancet. Digital health Jun 29, 2021
BACKGROUND: Early detection of postoperative complications, including organ failure, is pivotal in the initiation of targeted treatment strategies aimed at attenuating organ damage. In an era of increasing health-care costs and limited financial reso...
Postoperative Period Biomedical Technology Retrospective Studies Adolescent Female ROC Curve Humans Risk Factors Data Management Neural Networks, Computer Aged Area Under Curve Data Analysis Adult Male Models, Biological Forecasting Middle Aged Databases, Factual Risk Assessment Postoperative Complications
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State-of-the-art machine learning algorithms for the prediction of outcomes after contemporary heart transplantation: Results from the UNOS database.

Clinical transplantation Jun 29, 2021
PURPOSE: We sought to develop and validate machine learning (ML) models to increase the predictive accuracy of mortality after heart transplantation (HT).
Databases, Factual Female Aged Adult Humans Male Middle Aged Machine Learning Area Under Curve Algorithms Heart Transplantation
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Embryo selection with artificial intelligence: how to evaluate and compare methods?

Journal of assisted reproduction and genetics Jun 26, 2021
Embryo selection within in vitro fertilization (IVF) is the process of evaluating qualities of fertilized oocytes (embryos) and selecting the best embryo(s) available within a patient cohort for subsequent transfer or cryopreservation. In recent year...
Humans Artificial Intelligence Databases, Factual Pregnancy Female Cryopreservation Calibration Sensitivity and Specificity Fertilization in Vitro Image Processing, Computer-Assisted Decision Making, Computer-Assisted Area Under Curve Embryo Transfer Sample Size Blastocyst
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A Real-Time Clinical Decision Support System, for Mild Cognitive Impairment Detection, Based on a Hybrid Neural Architecture.

Computational and mathematical methods in medicine Jun 21, 2021
Clinical procedure for mild cognitive impairment (MCI) is mainly based on clinical records and short cognitive tests. However, low suspicion and difficulties in understanding test cut-offs make diagnostic accuracy being low, particularly in primary c...
Decision Support Systems, Clinical Aged, 80 and over Humans Computational Biology Sensitivity and Specificity Area Under Curve Neural Networks, Computer Case-Control Studies Neuropsychological Tests Databases, Factual Diagnosis, Computer-Assisted Aged Cognitive Dysfunction
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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...
Non-ST Elevated Myocardial Infarction Area Under Curve Humans Machine Learning Reproducibility of Results Risk Assessment Risk Factors Time Factors Aged Hospital Mortality Middle Aged ROC Curve Models, Theoretical
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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 Management Disease Susceptibility Adolescent Support Vector Machine Inpatients Area Under Curve Venous Thromboembolism Humans Machine Learning Prognosis Female Young Adult Adult Male Middle Aged
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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 Area Under Curve Models, Molecular Workflow Molecular Dynamics Simulation Acetylcholinesterase Molecular Docking Simulation Drug Discovery ROC Curve Biological Products Structure-Activity Relationship Cholinesterase Inhibitors Cheminformatics Databases, Pharmaceutical
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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...
Photography Body Weight Retina Body Height Image Interpretation, Computer-Assisted Metadata Disease Progression Deep Learning Blood Glucose ROC Curve Diabetes Mellitus, Type 2 Neural Networks, Computer Renal Insufficiency, Chronic Prospective Studies Glomerular Filtration Rate Humans Female Body Mass Index Male Area Under Curve Middle Aged Fundus Oculi
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