AIMC Topic: ROC Curve

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Deep Learning and Transfer Learning for Optic Disc Laterality Detection: Implications for Machine Learning in Neuro-Ophthalmology.

Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society Jun 1, 2020
BACKGROUND: Deep learning (DL) has demonstrated human expert levels of performance for medical image classification in a wide array of medical fields, including ophthalmology. In this article, we present the results of our DL system designed to deter...
Optic Nerve Diseases Deep Learning Humans ROC Curve Diagnostic Techniques, Ophthalmological Machine Learning Ophthalmology Neurology Algorithms Optic Disk
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Machine Learning Methods for Optimal Radiomics-Based Differentiation Between Recurrence and Inflammation: Application to Nasopharyngeal Carcinoma Post-therapy PET/CT Images.

Molecular imaging and biology Jun 1, 2020
PURPOSE: To identify optimal machine learning methods for radiomics-based differentiation of local recurrence versus inflammation from post-treatment nasopharyngeal positron emission tomography/X-ray computed tomography (PET/CT) images.
Machine Learning Algorithms Retrospective Studies Female Humans Diagnosis, Differential Positron Emission Tomography Computed Tomography Neoplasm Recurrence, Local Nasopharyngeal Carcinoma Nasopharyngeal Neoplasms Male ROC Curve Image Processing, Computer-Assisted Inflammation
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Modeling and measurement of signaling outcomes affecting decision making in noisy intracellular networks using machine learning methods.

Integrative biology : quantitative biosciences from nano to macro May 21, 2020
Characterization of decision-making in cells in response to received signals is of importance for understanding how cell fate is determined. The problem becomes multi-faceted and complex when we consider cellular heterogeneity and dynamics of biochem...
Multivariate Analysis Genes, p53 Normal Distribution PTEN Phosphohydrolase DNA Damage Outcome Assessment, Health Care Probability Tumor Suppressor Protein p53 Humans Machine Learning Algorithms Reproducibility of Results ROC Curve Signal Transduction Decision Making
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Mantis-ml: Disease-Agnostic Gene Prioritization from High-Throughput Genomic Screens by Stochastic Semi-supervised Learning.

American journal of human genetics May 7, 2020
Access to large-scale genomics datasets has increased the utility of hypothesis-free genome-wide analyses. However, gene signals are often insufficiently powered to reach experiment-wide significance, triggering a process of laborious triaging of gen...
Genomics Genetic Association Studies Renal Insufficiency, Chronic Disease Models, Animal Area Under Curve Epilepsy Amyotrophic Lateral Sclerosis Supervised Machine Learning Animals Deep Learning ROC Curve Mice Humans Neural Networks, Computer Reproducibility of Results Stochastic Processes Exome
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Classifying non-small cell lung cancer types and transcriptomic subtypes using convolutional neural networks.

Journal of the American Medical Informatics Association : JAMIA May 1, 2020
OBJECTIVE: Non-small cell lung cancer is a leading cause of cancer death worldwide, and histopathological evaluation plays the primary role in its diagnosis. However, the morphological patterns associated with the molecular subtypes have not been sys...
Lung Neoplasms Machine Learning Carcinoma, Non-Small-Cell Lung Carcinoma, Squamous Cell Adenocarcinoma of Lung Humans Transcriptome Neural Networks, Computer ROC Curve
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Screening Candidates for Refractive Surgery With Corneal Tomographic-Based Deep Learning.

JAMA ophthalmology May 1, 2020
IMPORTANCE: Evaluating corneal morphologic characteristics with corneal tomographic scans before refractive surgery is necessary to exclude patients with at-risk corneas and keratoconus. In previous studies, researchers performed screening with machi...
Female Young Adult Adult Cross-Sectional Studies Humans Artificial Intelligence Machine Learning Algorithms Tomography Models, Theoretical Keratoconus Male Corneal Topography Deep Learning Refractive Surgical Procedures China ROC Curve
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A new risk stratification score for patients with suspected cardiac chest pain in emergency departments, based on machine learning.

Chinese medical journal Apr 5, 2020
Chest Pain Chi-Square Distribution Angina Pectoris Humans Machine Learning Retrospective Studies ROC Curve Logistic Models Emergency Service, Hospital
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Detecting Patient Deterioration Using Artificial Intelligence in a Rapid Response System.

Critical care medicine Apr 1, 2020
OBJECTIVES: As the performance of a conventional track and trigger system in a rapid response system has been unsatisfactory, we developed and implemented an artificial intelligence for predicting in-hospital cardiac arrest, denoted the deep learning...
Hospital Rapid Response Team ROC Curve Vital Signs Heart Arrest Adult Clinical Deterioration Humans Male Middle Aged Retrospective Studies Risk Assessment Critical Illness Artificial Intelligence Female Algorithms
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Radiomics and Deep Learning: Hepatic Applications.

Korean journal of radiology Apr 1, 2020
Radiomics and deep learning have recently gained attention in the imaging assessment of various liver diseases. Recent research has demonstrated the potential utility of radiomics and deep learning in staging liver fibroses, detecting portal hyperten...
Liver Diseases Liver Neoplasms Image Processing, Computer-Assisted Hypertension, Portal Liver Cirrhosis Humans Area Under Curve Databases, Factual Deep Learning ROC Curve
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A customizable deep learning model for nosocomial risk prediction from critical care notes with indirect supervision.

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2020
OBJECTIVE: Reliable longitudinal risk prediction for hospitalized patients is needed to provide quality care. Our goal is to develop a generalizable model capable of leveraging clinical notes to predict healthcare-associated diseases 24-96 hours in a...
Retrospective Studies Acute Kidney Injury Iatrogenic Disease Electronic Health Records Risk Assessment Humans Area Under Curve Deep Learning Critical Care ROC Curve Anemia Support Vector Machine Pressure Ulcer Natural Language Processing
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