AIMC Topic:
ROC Curve

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A Study of Machine-Learning Classifiers for Hypertension Based on Radial Pulse Wave.

BioMed research international Nov 11, 2018
OBJECTIVE: In this study, machine learning was utilized to classify and predict pulse wave of hypertensive group and healthy group and assess the risk of hypertension by observing the dynamic change of the pulse wave and provide an objective referenc...
Hypertension Cluster Analysis Pulse Wave Analysis Female Adult Humans Male ROC Curve Machine Learning Algorithms
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Mortality prediction in patients with isolated moderate and severe traumatic brain injury using machine learning models.

PloS one Nov 9, 2018
BACKGROUND: The purpose of this study was to build a model of machine learning (ML) for the prediction of mortality in patients with isolated moderate and severe traumatic brain injury (TBI).
Middle Aged Humans Aged, 80 and over Neural Networks, Computer Bayes Theorem ROC Curve Young Adult Brain Injuries, Traumatic Machine Learning Logistic Models Decision Trees Adult Abbreviated Injury Scale Female Support Vector Machine Taiwan Male Aged Predictive Value of Tests
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Prediction of Farnesoid X Receptor Disruptors with Machine Learning Methods.

Chemical research in toxicology Nov 8, 2018
The farnesoid X receptor (FXR) emerges as a promising drug target involved in regulating various metabolic pathways, yet some xenobiotic compounds binding to FXR would be an important determinant to induce the receptor dysfunctions that lead to undes...
Area Under Curve Benzimidazoles Receptors, Cytoplasmic and Nuclear Xenobiotics Humans Machine Learning Databases, Factual ROC Curve
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Predicting drug-resistant epilepsy - A machine learning approach based on administrative claims data.

Epilepsy & behavior : E&B Nov 7, 2018
Patients with drug-resistant epilepsy (DRE) are at high risk of morbidity and mortality, yet their referral to specialist care is frequently delayed. The ability to identify patients at high risk of DRE at the time of treatment initiation, and to sub...
Insurance Claim Reporting Regression Analysis Anticonvulsants Feasibility Studies Drug Resistant Epilepsy Adult Humans Male Machine Learning Middle Aged Algorithms ROC Curve Female
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Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks.

Scientific reports Nov 7, 2018
Magnetic resonance imaging (MRI) has been proposed as a complimentary method to measure bone quality and assess fracture risk. However, manual segmentation of MR images of bone is time-consuming, limiting the use of MRI measurements in the clinical p...
Magnetic Resonance Imaging Mammography Femur Humans Neural Networks, Computer Machine Learning Algorithms Reproducibility of Results ROC Curve Image Processing, Computer-Assisted
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A Deep Neural Network Model using Random Forest to Extract Feature Representation for Gene Expression Data Classification.

Scientific reports Nov 7, 2018
In predictive model development, gene expression data is associated with the unique challenge that the number of samples (n) is much smaller than the amount of features (p). This "n ≪ p" property has prevented classification of gene expression data f...
Neural Networks, Computer Algorithms Deep Learning ROC Curve Humans Computational Biology Gene Expression Regulation
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A Lightweight Multi-Section CNN for Lung Nodule Classification and Malignancy Estimation.

IEEE journal of biomedical and health informatics Nov 6, 2018
The size and shape of a nodule are the essential indicators of malignancy in lung cancer diagnosis. However, effectively capturing the nodule's structural information from CT scans in a computer-aided system is a challenging task. Unlike previous mod...
ROC Curve Imaging, Three-Dimensional Lung Neoplasms Solitary Pulmonary Nodule Neural Networks, Computer Algorithms Tomography, X-Ray Computed Lung Humans
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Predominant polarity classification and associated clinical variables in bipolar disorder: A machine learning approach.

Journal of affective disorders Nov 6, 2018
BACKGROUND: Bipolar disorder (BD) is a severe psychiatric disorder characterized by periodic episodes of manic and depressive symptomatology. Predominant polarity (PP) appears to be an important specifier of BD. The present study employed machine lea...
Cohort Studies ROC Curve Age Factors Substance-Related Disorders Area Under Curve Alcoholism Tobacco Use Disorder Demography Cross-Sectional Studies Humans Male Machine Learning Middle Aged Algorithms Bipolar Disorder Feeding and Eating Disorders Female Hospitalization Hallucinations Adult Delusions
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Chest Radiographs in Congestive Heart Failure: Visualizing Neural Network Learning.

Radiology Nov 6, 2018
Purpose To examine Generative Visual Rationales (GVRs) as a tool for visualizing neural network learning of chest radiograph features in congestive heart failure (CHF). Materials and Methods A total of 103 489 frontal chest radiographs in 46 712 pati...
Heart Failure Natriuretic Peptide, Brain Radiography, Thoracic Thorax Child, Preschool Child ROC Curve Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Male Aged Humans Databases, Factual Middle Aged Aged, 80 and over Female Infant Young Adult Infant, Newborn Adolescent Adult
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Fundus photograph-based deep learning algorithms in detecting diabetic retinopathy.

Eye (London, England) Nov 6, 2018
Remarkable advances in biomedical research have led to the generation of large amounts of data. Using artificial intelligence, it has become possible to extract meaningful information from large volumes of data, in a shorter frame of time, with very ...
Neural Networks, Computer Algorithms Deep Learning ROC Curve Humans Diabetic Retinopathy Fundus Oculi Diagnostic Techniques, Ophthalmological Photography
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