AI Medical Compendium Topic:
Severity of Illness Index

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Decoding rumination: A machine learning approach to a transdiagnostic sample of outpatients with anxiety, mood and psychotic disorders.

Journal of psychiatric research Dec 7, 2019
OBJECTIVE: To employ machine learning algorithms to examine patterns of rumination from RDoC perspective and to determine which variables predict high levels of maladaptive rumination across a transdiagnostic sample.
Humans Cytokines Female Adult Rumination, Cognitive Support Vector Machine Psychotic Disorders Mood Disorders Social Class Adaptation, Psychological Male Middle Aged Anxiety Disorders Severity of Illness Index Models, Theoretical
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Machine learning distilled metabolite biomarkers for early stage renal injury.

Metabolomics : Official journal of the Metabolomic Society Dec 5, 2019
INTRODUCTION: With chronic kidney disease (CKD), kidney becomes damaged overtime and fails to clean blood. Around 15% of US adults have CKD and nine in ten adults with CKD do not know they have it.
Chromatography, High Pressure Liquid Case-Control Studies Renal Insufficiency, Chronic Glomerular Filtration Rate Mass Spectrometry Creatinine Humans Machine Learning Biomarkers Female Aged Adult Male Middle Aged Severity of Illness Index
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Deep learning enables pathologist-like scoring of NASH models.

Scientific reports Dec 5, 2019
Non-alcoholic fatty liver disease (NAFLD) and the progressive form of non-alcoholic steatohepatitis (NASH) are diseases of major importance with a high unmet medical need. Efficacy studies on novel compounds to treat NAFLD/NASH using disease models a...
Humans Animals Severity of Illness Index Deep Learning Biopsy Image Processing, Computer-Assisted Feasibility Studies Mice Non-alcoholic Fatty Liver Disease Rats Microscopy Disease Models, Animal Datasets as Topic Liver
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Evaluation of a Deep Learning-Based Automated CT Coronary Artery Calcium Scoring Algorithm.

JACC. Cardiovascular imaging Nov 13, 2019
Coronary Vessels Vascular Calcification Computed Tomography Angiography Cardiac-Gated Imaging Techniques Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Automation Middle Aged Severity of Illness Index Diagnosis, Computer-Assisted Deep Learning Electrocardiography Humans Software Retrospective Studies Female Reproducibility of Results Aged Male
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Machine Learning for Pretest Probability of Obstructive Coronary Stenosis in Symptomatic Patients.

JACC. Cardiovascular imaging Nov 13, 2019
Coronary Artery Disease Middle Aged Computed Tomography Angiography Humans Coronary Stenosis Severity of Illness Index Machine Learning Diagnosis, Computer-Assisted Female Predictive Value of Tests Reproducibility of Results Coronary Angiography Male
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Machine Learning to Predict Anti-Tumor Necrosis Factor Drug Responses of Rheumatoid Arthritis Patients by Integrating Clinical and Genetic Markers.

Arthritis & rheumatology (Hoboken, N.J.) Nov 4, 2019
OBJECTIVE: Accurate prediction of treatment responses in rheumatoid arthritis (RA) patients can provide valuable information on effective drug selection. Anti-tumor necrosis factor (anti-TNF) drugs are an important second-line treatment after methotr...
Regression Analysis Predictive Value of Tests Infliximab Genetic Markers Methotrexate Middle Aged Severity of Illness Index Arthritis, Rheumatoid Polymorphism, Single Nucleotide Treatment Outcome Certolizumab Pegol Adalimumab Outcome Assessment, Health Care Antirheumatic Agents Normal Distribution Etanercept Humans Machine Learning Tumor Necrosis Factor-alpha Female Reproducibility of Results Male
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Machine learning-based prediction of radiographic progression in patients with axial spondyloarthritis.

Clinical rheumatology Oct 30, 2019
INTRODUCTION: Machine learning is applied to characterize the risk and predict outcomes in multi-dimensional data. The prediction of radiographic progression in axial spondyloarthritis (axSpA) remains limited. Hence, we tested the feasibility of supe...
Spine Spondylarthritis Male Middle Aged Disease Progression Severity of Illness Index Radiography Machine Learning Retrospective Studies Republic of Korea Female Adult Humans
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The hidden information in patient-reported outcomes and clinician-assessed outcomes: multiple sclerosis as a proof of concept of a machine learning approach.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology Oct 28, 2019
Machine learning (ML) applied to patient-reported (PROs) and clinical-assessed outcomes (CAOs) could favour a more predictive and personalized medicine. Our aim was to confirm the important role of applying ML to PROs and CAOs of people with relapsin...
Female Adult Male Middle Aged Disease Progression Severity of Illness Index Outcome Assessment, Health Care Multiple Sclerosis Patient Reported Outcome Measures Proof of Concept Study Humans Machine Learning Prognosis
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Impact of age at onset on the phenomenology of depression in treatment-seeking adults in the STAR*D trial.

Journal of affective disorders Oct 26, 2019
BACKGROUND: - Adolescence is characterized by biological, emotional, and behavioral changes. The onset of depression during this vulnerable time may confer specific risks. This study examined whether symptoms of depression were associated with age at...
Middle Aged Severity of Illness Index Depression Adolescent Child Retrospective Studies Female Young Adult Adult Male Humans Neural Networks, Computer Regression Analysis Prospective Studies Randomized Controlled Trials as Topic Age of Onset Patient Acceptance of Health Care
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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...
Child Young Adult Adult ROC Curve Outcome Assessment, Health Care Longitudinal Studies Humans Male Psychological Techniques Predictive Value of Tests Severity of Illness Index Machine Learning Substance-Related Disorders Female Adolescent Reproducibility of Results
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