AI Medical Compendium Topic:
Severity of Illness Index

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Upper limb robot-assisted rehabilitation versus physical therapy on subacute stroke patients: A follow-up study.

Journal of bodywork and movement therapies Apr 4, 2019
This study aims to analyse the long-term effects (6 months follow-up) of upper limb Robot-assisted Therapy (RT) compared to Traditional physical Therapy (TT), in subacute stroke patients. Although the literature on upper-limb rehabilitation with robo...
Humans Female Aged Robotics Single-Blind Method Paresis Upper Extremity Physical Therapy Modalities Stroke Rehabilitation Aged, 80 and over Male Severity of Illness Index Follow-Up Studies Recovery of Function
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Neural networks for automatic scoring of arthritis disease activity on ultrasound images.

RMD open Mar 30, 2019
BACKGROUND: The development of standardised methods for ultrasound (US) scanning and evaluation of synovitis activity by the OMERACT-EULAR Synovitis Scoring (OESS) system is a major step forward in the use of US in the diagnosis and monitoring of pat...
Deep Learning Humans Ultrasonography Neural Networks, Computer Arthritis, Rheumatoid Artificial Intelligence Synovitis Severity of Illness Index Ultrasonography, Doppler Case-Control Studies Arthritis
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Feature-weighted survival learning machine for COPD failure prediction.

Artificial intelligence in medicine Mar 28, 2019
Chronic obstructive pulmonary disease (COPD) yields a high rate of failures such as hospital readmission and death in the United States, Canada and worldwide. COPD failure imposes a significant social and economic burden on society, and predicting su...
Electronic Health Records Female Risk Factors Hospitalization Aged Humans Machine Learning Biomarkers Prognosis Retrospective Studies Time Factors ROC Curve Canada Age Factors Predictive Value of Tests Sex Factors Aged, 80 and over Pulmonary Disease, Chronic Obstructive Male Middle Aged Severity of Illness Index Patient Readmission Survival Analysis Proportional Hazards Models
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Diagnosing osteoarthritis from T maps using deep learning: an analysis of the entire Osteoarthritis Initiative baseline cohort.

Osteoarthritis and cartilage Mar 21, 2019
OBJECTIVE: We aim to study to what extent conventional and deep-learning-based T relaxometry patterns are able to distinguish between knees with and without radiographic osteoarthritis (OA).
Disease Progression Severity of Illness Index Case-Control Studies Deep Learning Magnetic Resonance Imaging Pain Measurement Osteoarthritis, Knee Cartilage, Articular Female Aged Humans Sensitivity and Specificity Male Algorithms Middle Aged
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Resting state connectivity best predicts alcohol use severity in moderate to heavy alcohol users.

NeuroImage. Clinical Mar 19, 2019
BACKGROUND: In the United States, 13% of adults are estimated to have alcohol use disorder (AUD). Most studies examining the neurobiology of AUD treat individuals with this disorder as a homogeneous group; however, the theories of the neurocircuitry ...
Alcoholism Connectome Nerve Net Humans Machine Learning Female Young Adult Adult Male Middle Aged Severity of Illness Index Magnetic Resonance Imaging Models, Neurological
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Objective Relationship Between Sleep Apnea and Frequency of Snoring Assessed by Machine Learning.

Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine Mar 15, 2019
STUDY OBJECTIVES: Snoring is perceived to be directly proportional to sleep apnea severity, especially obstructive sleep apnea (OSA), but this notion has not been thoroughly and objectively evaluated, despite its popularity in clinical practice. This...
Sleep Apnea, Obstructive Snoring Polysomnography Female Male Middle Aged Severity of Illness Index Sleep Apnea Syndromes Humans Machine Learning Algorithms
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DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning.

Scientific reports Feb 12, 2019
Traditional methods for assessing illness severity and predicting in-hospital mortality among critically ill patients require time-consuming, error-prone calculations using static variable thresholds. These methods do not capitalize on the emerging a...
Severity of Illness Index Deep Learning Length of Stay Adolescent Hospital Mortality Longitudinal Studies Decision Making Area Under Curve Probability Critical Care Organ Dysfunction Scores Aged Young Adult Adult Male Middle Aged Databases, Factual Retrospective Studies Critical Illness Intensive Care Units Female Humans
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Water-fat separation and parameter mapping in cardiac MRI via deep learning with a convolutional neural network.

Journal of magnetic resonance imaging : JMRI Jan 30, 2019
BACKGROUND: Water-fat separation is a postprocessing technique most commonly applied to multiple-gradient-echo magnetic resonance (MR) images to identify fat, provide images with fat suppression, and to measure fat tissue concentration. Recently, Num...
Humans Neural Networks, Computer Retrospective Studies Female Male Middle Aged Severity of Illness Index Deep Learning Water Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Adipose Tissue Heart Feasibility Studies Myocardial Infarction
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Machine Learning-based Development and Validation of a Scoring System for Screening High-Risk Esophageal Varices.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association Jan 29, 2019
BACKGROUND & AIMS: Many patients with cirrhosis who undergo esophagogastroduodenoscopy (EGD) screening for esophageal varices (EVs) are found to have no or only small EVs. Endoscopic screening for EVs is therefore a potentially deferrable procedure t...
Endoscopy, Digestive System Thrombocytopenia Liver Cirrhosis, Alcoholic Gastrointestinal Hemorrhage Hepatic Encephalopathy Prospective Studies Serum Albumin Blood Urea Nitrogen Platelet Count Female Esophageal and Gastric Varices Hepatitis C, Chronic Aged Ascites Alanine Transaminase Risk Assessment Male Humans Creatinine Severity of Illness Index Middle Aged Aspartate Aminotransferases Machine Learning Non-alcoholic Fatty Liver Disease Liver Cirrhosis Bilirubin Hemoglobins Mass Screening Sodium International Normalized Ratio
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Development and Evaluation of a Machine Learning Model for the Early Identification of Patients at Risk for Sepsis.

Annals of emergency medicine Jan 17, 2019
STUDY OBJECTIVE: The Third International Consensus Definitions (Sepsis-3) Task Force recommended the use of the quick Sequential [Sepsis-related] Organ Failure Assessment (qSOFA) score to screen patients for sepsis outside of the ICU. However, subseq...
Aged Sensitivity and Specificity Male Middle Aged Humans Severity of Illness Index Sepsis Machine Learning Early Diagnosis Retrospective Studies Lactic Acid Female Organ Dysfunction Scores Hospitals, Urban
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