AIMC Topic:
ROC Curve

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Construct validation of machine learning in the prediction of short-term postoperative complications following total shoulder arthroplasty.

Journal of shoulder and elbow surgery Aug 3, 2019
BACKGROUND: We aimed to demonstrate that supervised machine learning (ML) models can better predict postoperative complications after total shoulder arthroplasty (TSA) than comorbidity indices.
Humans Forecasting Databases, Factual Female Serum Albumin Arthroplasty, Replacement, Shoulder Age Factors Comorbidity Blood Transfusion Length of Stay Operative Time ROC Curve Predictive Value of Tests Body Mass Index Patient Readmission Aged Male Smoking Supervised Machine Learning Middle Aged Reoperation Hematocrit Postoperative Complications
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An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction.

Lancet (London, England) Aug 1, 2019
BACKGROUND: Atrial fibrillation is frequently asymptomatic and thus underdetected but is associated with stroke, heart failure, and death. Existing screening methods require prolonged monitoring and are limited by cost and low yield. We aimed to deve...
Algorithms Retrospective Studies Female Aged Humans Neural Networks, Computer ROC Curve Electrocardiography Predictive Value of Tests Atrial Fibrillation Atrial Flutter Adult Male Middle Aged Case-Control Studies
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Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures.

PloS one Aug 1, 2019
Drug-drug interactions are preventable causes of medical injuries and often result in doctor and emergency room visits. Computational techniques can be used to predict potential drug-drug interactions. We approach the drug-drug interaction prediction...
Computer Graphics Databases, Pharmaceutical ROC Curve Computational Biology Drug Interactions Pattern Recognition, Automated Humans Neural Networks, Computer Algorithms Retrospective Studies
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Combining patient visual timelines with deep learning to predict mortality.

PloS one Jul 31, 2019
BACKGROUND: Deep learning algorithms have achieved human-equivalent performance in image recognition. However, the majority of clinical data within electronic health records is inherently in a non-image format. Therefore, creating visual representati...
Deep Learning Humans Neural Networks, Computer Hospital Mortality Machine Learning ROC Curve Female Vital Signs Retrospective Studies Hospitalization Intensive Care Units Patient Admission Male Electronic Health Records Middle Aged
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[Machine learning for predictive analyses in health: an example of an application to predict death in the elderly in São Paulo, Brazil].

Cadernos de saude publica Jul 29, 2019
This study aims to present the stages related to the use of machine learning algorithms for predictive analyses in health. An application was performed in a database of elderly residents in the city of São Paulo, Brazil, who participated in the Healt...
Humans Machine Learning Algorithms Aged Sensitivity and Specificity Male Prognosis Female Logistic Models Death Middle Aged Risk Assessment Brazil ROC Curve
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Combined Ensemble Docking and Machine Learning in Identification of Therapeutic Agents with Potential Inhibitory Effect on Human CES1.

Molecules (Basel, Switzerland) Jul 29, 2019
The human carboxylesterase 1 (CES1), responsible for the biotransformation of many diverse therapeutic agents, may contribute to the occurrence of adverse drug reactions and therapeutic failure through drug interactions. The present study is designed...
Small Molecule Libraries Reproducibility of Results Molecular Docking Simulation Drug Discovery ROC Curve Quantitative Structure-Activity Relationship Enzyme Activation Protease Inhibitors Molecular Dynamics Simulation Carboxylic Ester Hydrolases Humans Machine Learning
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Prodromal clinical, demographic, and socio-ecological correlates of asthma in adults: a 10-year statewide big data multi-domain analysis.

The Journal of asthma : official journal of the Association for the Care of Asthma Jul 26, 2019
To identify prodromal correlates of asthma as compared to chronic obstructive pulmonary disease and allied-conditions (COPDAC) using a multi domain analysis of socio-ecological, clinical, and demographic domains. This is a retrospective case-risk-co...
Case-Control Studies Big Data ROC Curve Socioeconomic Factors Asthma Male Middle Aged Risk Assessment Florida Longitudinal Studies Models, Biological Early Diagnosis Administrative Claims, Healthcare Humans Machine Learning Retrospective Studies Female Risk Factors Adult
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Diabetic retinopathy detection through novel tetragonal local octa patterns and extreme learning machines.

Artificial intelligence in medicine Jul 26, 2019
Diabetic retinopathy (DR) is an eye disease that victimize the people suffering from diabetes from many years. The severe form of DR results in form of the blindness that can initially be controlled by the DR-screening oriented treatment. The effecti...
Image Interpretation, Computer-Assisted Neural Networks, Computer Deep Learning ROC Curve Fundus Oculi Humans Diabetic Retinopathy
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Evaluation of machine learning methods with Fourier Transform features for classifying ovarian tumors based on ultrasound images.

PloS one Jul 26, 2019
INTRODUCTION: Ovarian tumors are the most common diagnostic challenge for gynecologists and ultrasound examination has become the main technique for assessment of ovarian pathology and for preoperative distinction between malignant and benign ovarian...
Area Under Curve Fourier Analysis Female Ultrasonography Humans ROC Curve Machine Learning Image Processing, Computer-Assisted Algorithms Ovarian Neoplasms
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Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning.

Acta ophthalmologica Jul 25, 2019
PURPOSE: To assess the use of deep learning (DL) for computer-assisted glaucoma identification, and the impact of training using images selected by an active learning strategy, which minimizes labelling cost. Additionally, this study focuses on the e...
Fundus Oculi Optic Disk Diagnosis, Computer-Assisted Deep Learning ROC Curve Follow-Up Studies Humans Glaucoma Retrospective Studies
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