AIMC Topic: Case-Control Studies
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Macroscale and microcircuit dissociation of focal and generalized human epilepsies.
Communications biology
May 18, 2020
Thalamo-cortical pathology plays key roles in both generalized and focal epilepsies, but there is little work directly comparing these syndromes at the level of whole-brain mechanisms. Using multimodal imaging, connectomics, and computational simulat...
A self-administered, artificial intelligence (AI) platform for cognitive assessment in multiple sclerosis (MS).
BMC neurology
May 18, 2020
BACKGROUND: Cognitive impairment is common in patients with multiple sclerosis (MS). Accurate and repeatable measures of cognition have the potential to be used as markers of disease activity.
Interpretable Learning Approaches in Resting-State Functional Connectivity Analysis: The Case of Autism Spectrum Disorder.
Computational and mathematical methods in medicine
May 18, 2020
Deep neural networks have recently been applied to the study of brain disorders such as autism spectrum disorder (ASD) with great success. However, the internal logics of these networks are difficult to interpret, especially with regard to how specif...
Identifying drugs with disease-modifying potential in Parkinson's disease using artificial intelligence and pharmacoepidemiology.
Pharmacoepidemiology and drug safety
May 14, 2020
PURPOSE: The aim of the study was to assess the feasibility of an approach combining computational methods and pharmacoepidemiology to identify potentially disease-modifying drugs in Parkinson's disease (PD).
An Open-Source Computer Vision Tool for Automated Vocal Fold Tracking From Videoendoscopy.
The Laryngoscope
May 1, 2020
OBJECTIVES: Contemporary clinical assessment of vocal fold adduction and abduction is qualitative and subjective. Herein is described a novel computer vision tool for automated quantitative tracking of vocal fold motion from videolaryngoscopy. The po...
Prediction of Postoperative Length of Hospital Stay Based on Differences in Nursing Narratives in Elderly Patients with Epithelial Ovarian Cancer.
Methods of information in medicine
Apr 29, 2020
OBJECTIVES: The current study sought to evaluate whether nursing narratives can be used to predict postoperative length of hospital stay (LOS) following curative surgery for ovarian cancer.
Deep Learning Predicts Total Knee Replacement from Magnetic Resonance Images.
Scientific reports
Apr 14, 2020
Knee Osteoarthritis (OA) is a common musculoskeletal disorder in the United States. When diagnosed at early stages, lifestyle interventions such as exercise and weight loss can slow OA progression, but at later stages, only an invasive option is avai...
Convolutional neural network models for cancer type prediction based on gene expression.
BMC medical genomics
Apr 3, 2020
BACKGROUND: Precise prediction of cancer types is vital for cancer diagnosis and therapy. Through a predictive model, important cancer marker genes can be inferred. Several studies have attempted to build machine learning models for this task however...
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) ...
Humans
Neural Networks, Computer
Machine Learning
Data Analysis
Delivery of Health Care
Databases, Factual
Cohort Studies
ROC Curve
Data Management
Adult
Models, Biological
Area Under Curve
Prognosis
Male
Schizophrenia
Retrospective Studies
Psychotic Disorders
Middle Aged
Electronic Health Records
Datasets as Topic
Risk Assessment
Female
Case-Control Studies
Exploring the effect of hypertension on retinal microvasculature using deep learning on East Asian population.
PloS one
Mar 5, 2020
Hypertension is the leading risk factor of cardiovascular disease and has profound effects on both the structure and function of the microvasculature. Abnormalities of the retinal vasculature may reflect the degree of microvascular damage due to hype...
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