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Cloud-based ECG monitoring using event-driven ECG acquisition and machine learning techniques.

Physical and engineering sciences in medicine Apr 1, 2020
An approach is proposed for the detection of chronic heart disorders from the electrocardiogram (ECG) signals. It utilizes an intelligent event-driven ECG signal acquisition system to achieve a real-time compression and effective signal processing an...
Analog-Digital Conversion Support Vector Machine Area Under Curve Signal Processing, Computer-Assisted Cloud Computing Humans Machine Learning ROC Curve Electrocardiography
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Automatic detection of tympanic membrane and middle ear infection from oto-endoscopic images via convolutional neural networks.

Neural networks : the official journal of the International Neural Network Society Apr 1, 2020
Convolutional neural networks (CNNs), a popular type of deep neural network, have been actively applied to image recognition, object detection, object localization, semantic segmentation, and object instance segmentation. Accordingly, the applicabili...
Humans Neural Networks, Computer Databases, Factual Reproducibility of Results Deep Learning ROC Curve Otitis Media Tympanic Membrane Neuroendoscopy
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LEAP: Using machine learning to support variant classification in a clinical setting.

Human mutation Apr 1, 2020
Advances in genome sequencing have led to a tremendous increase in the discovery of novel missense variants, but evidence for determining clinical significance can be limited or conflicting. Here, we present Learning from Evidence to Assess Pathogeni...
Models, Statistical Area Under Curve Mutation, Missense Humans Machine Learning Cardiovascular Diseases Neoplasms ROC Curve Genomics Logistic Models Models, Genetic
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Augmented Intelligence Dermatology: Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders.

The Journal of investigative dermatology Mar 31, 2020
Although deep learning algorithms have demonstrated expert-level performance, previous efforts were mostly binary classifications of limited disorders. We trained an algorithm with 220,680 images of 174 disorders and validated it using Edinburgh (1,3...
Adolescent ROC Curve Antiviral Agents Antifungal Agents Skin Middle Aged Glucocorticoids Deep Learning Clinical Competence Image Interpretation, Computer-Assisted Datasets as Topic Photography Internship and Residency Drug Therapy, Computer-Assisted Feasibility Studies Dermatologists Skin Diseases Dermatology Humans Anti-Bacterial Agents Female Skin Neoplasms Dermoscopy Aged Young Adult Adult Male
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Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.

European radiology Mar 28, 2020
OBJECTIVES: We develop and validate a radiomics model based on multiparametric magnetic resonance imaging (MRI) in the classification of the pulmonary lesion and identify optimal machine learning methods.
Cohort Studies ROC Curve Support Vector Machine Lung Diseases Multiparametric Magnetic Resonance Imaging Humans Adult Machine Learning Male Retrospective Studies Middle Aged Female Lung Aged Young Adult
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HMMPred: Accurate Prediction of DNA-Binding Proteins Based on HMM Profiles and XGBoost Feature Selection.

Computational and mathematical methods in medicine Mar 28, 2020
Prediction of DNA-binding proteins (DBPs) has become a popular research topic in protein science due to its crucial role in all aspects of biological activities. Even though considerable efforts have been devoted to developing powerful computational ...
Computational Biology DNA-Binding Proteins Humans Support Vector Machine Amino Acid Sequence Machine Learning Databases, Protein Markov Chains Algorithms Amino Acids ROC Curve
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Dynamic ElecTronic hEalth reCord deTection (DETECT) of individuals at risk of a first episode of psychosis: a case-control development and validation study.

The Lancet. Digital health Mar 26, 2020
BACKGROUND: Many individuals who will experience a first episode of psychosis (FEP) are not detected before occurrence, limiting the effect of preventive interventions. The combination of machine-learning methods and electronic health records (EHRs) ...
Models, Biological Schizophrenia Psychotic Disorders Prognosis Datasets as Topic Retrospective Studies Cohort Studies Electronic Health Records ROC Curve Female Neural Networks, Computer Data Management Adult Area Under Curve Male Machine Learning Humans Data Analysis Middle Aged Delivery of Health Care Risk Assessment Databases, Factual Case-Control Studies
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Diagnostic performance of deep learning-based vascular extraction and stenosis detection technique for coronary artery disease.

The British journal of radiology Mar 25, 2020
OBJECTIVE: To investigate the diagnostic performance of deep learning (DL)-based vascular extraction and stenosis detection technology in assessing coronary artery disease (CAD).
Retrospective Studies Female Aged Sensitivity and Specificity Male Humans Coronary Angiography Coronary Artery Disease Angiography, Digital Subtraction Computed Tomography Angiography Coronary Stenosis Middle Aged Deep Learning ROC Curve Predictive Value of Tests
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The Role of Corneal Biomechanics for the Evaluation of Ectasia Patients.

International journal of environmental research and public health Mar 23, 2020
PURPOSE: To review the role of corneal biomechanics for the clinical evaluation of patients with ectatic corneal diseases.
Cornea Humans ROC Curve Artificial Intelligence Corneal Topography Retrospective Studies Germany Dilatation, Pathologic Corneal Pachymetry
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Diagnostic accuracy and potential covariates for machine learning to identify IDH mutations in glioma patients: evidence from a meta-analysis.

European radiology Mar 19, 2020
OBJECTIVES: To assess the diagnostic accuracy of machine learning (ML) in predicting isocitrate dehydrogenase (IDH) mutations in patients with glioma and to identify potential covariates that could influence the diagnostic performance of ML.
DNA Mutational Analysis DNA, Neoplasm Isocitrate Dehydrogenase ROC Curve Glioma Magnetic Resonance Imaging Mutation Humans Machine Learning Biomarkers, Tumor Brain Neoplasms
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