AIMC Topic:
ROC Curve

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Utility of a public-available artificial intelligence in diagnosis of polypoidal choroidal vasculopathy.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Nov 4, 2019
PURPOSE: To investigate the feasibility of training an artificial intelligence (AI) on a public-available AI platform to diagnose polypoidal choroidal vasculopathy (PCV) using indocyanine green angiography (ICGA).
Humans Artificial Intelligence Tomography, Optical Coherence Fundus Oculi Fluorescein Angiography Polyps Choroid Diseases Machine Learning Retrospective Studies ROC Curve Choroid
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Machine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer.

Journal of critical care Nov 2, 2019
PURPOSE: To develop and compare the predictive performance of machine-learning algorithms to estimate the risk of quality-adjusted life year (QALY) lower than or equal to 30 days (30-day QALY).
Humans Machine Learning False Positive Reactions Hospitals, Public Area Under Curve Signal Processing, Computer-Assisted Probability Pattern Recognition, Automated Adult Sensitivity and Specificity Male Middle Aged Quality of Life ROC Curve Decision Trees Algorithms Intensive Care Units Prospective Studies Female Prognosis Hospitalization Critical Illness Aged Brazil Neoplasms
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Development of a deep learning model to identify hyperdense MCA sign in patients with acute ischemic stroke.

Japanese journal of radiology Oct 31, 2019
PURPOSE: The aim of this study was to develop an interactive deep learning-assisted identification of the hyperdense middle cerebral artery (MCA) sign (HMCAS) on non-contrast computed tomography (CT) among patients with acute ischemic stroke.
Female Aged Sensitivity and Specificity Male Deep Learning ROC Curve Radiographic Image Interpretation, Computer-Assisted Stroke Humans Retrospective Studies Tomography, X-Ray Computed Brain Ischemia Middle Cerebral Artery
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A deep learning framework to predict binding preference of RNA constituents on protein surface.

Nature communications Oct 30, 2019
Protein-RNA interaction plays important roles in post-transcriptional regulation. However, the task of predicting these interactions given a protein structure is difficult. Here we show that, by leveraging a deep learning model NucleicNet, attributes...
Ribonuclease III Argonaute Proteins Cytosine Ribose RNA-Binding Proteins Area Under Curve RNA, Small Interfering RNA Guanine Gene Knockdown Techniques Adenine Deep Learning Phosphates Humans ROC Curve Uracil Animals Protein Binding Mice
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A machine learning approach for the prediction of pulmonary hypertension.

PloS one Oct 25, 2019
BACKGROUND: Machine learning (ML) is a powerful tool for identifying and structuring several informative variables for predictive tasks. Here, we investigated how ML algorithms may assist in echocardiographic pulmonary hypertension (PH) prediction, w...
Risk Assessment ROC Curve Humans Electrocardiography Risk Factors Machine Learning Hypertension, Pulmonary Prognosis Aged Female Male Middle Aged
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Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis.

IEEE journal of biomedical and health informatics Oct 23, 2019
Despite the potential to revolutionise disease diagnosis by performing data-driven classification, clinical interpretability of ConvNet remains challenging. In this paper, a novel clinical interpretable ConvNet architecture is proposed not only for a...
Image Interpretation, Computer-Assisted Humans Optic Disk Semantics Glaucoma Deep Learning ROC Curve
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Analysis of substance use and its outcomes by machine learning I. Childhood evaluation of liability to substance use disorder.

Drug and alcohol dependence Oct 22, 2019
BACKGROUND: Substance use disorder (SUD) exacts enormous societal costs in the United States, and it is important to detect high-risk youths for prevention. Machine learning (ML) is the method to find patterns and make prediction from data. We hypoth...
Psychological Techniques Humans Longitudinal Studies Male Predictive Value of Tests Machine Learning Severity of Illness Index Female Substance-Related Disorders Adolescent Reproducibility of Results Outcome Assessment, Health Care Young Adult Child Adult ROC Curve
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LiSep LSTM: A Machine Learning Algorithm for Early Detection of Septic Shock.

Scientific reports Oct 22, 2019
Sepsis is a major health concern with global estimates of 31.5 million cases per year. Case fatality rates are still unacceptably high, and early detection and treatment is vital since it significantly reduces mortality rates for this condition. Appr...
Area Under Curve Early Diagnosis Humans Machine Learning Algorithms ROC Curve Shock, Septic
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An Exploration of Machine Learning Methods for Robust Boredom Classification Using EEG and GSR Data.

Sensors (Basel, Switzerland) Oct 20, 2019
In recent years, affective computing has been actively researched to provide a higher level of emotion-awareness. Numerous studies have been conducted to detect the user's emotions from physiological data. Among a myriad of target emotions, boredom, ...
Female Young Adult Adult Male Humans Machine Learning Electroencephalography Galvanic Skin Response Boredom Surveys and Questionnaires ROC Curve Area Under Curve Discriminant Analysis
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Integrating environmental and neighborhood factors in MaxEnt modeling to predict species distributions: A case study of Aedes albopictus in southeastern Pennsylvania.

PloS one Oct 17, 2019
Aedes albopictus is a viable vector for several infectious diseases such as Zika, West Nile, Dengue viruses and others. Originating from Asia, this invasive species is rapidly expanding into North American temperate areas and urbanized places causing...
Machine Learning ROC Curve Pennsylvania Temperature Area Under Curve Seasons Population Density Animals Aedes Ecosystem
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