AI Medical Compendium Topic:
Severity of Illness Index

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Importance of coding co-morbidities for APR-DRG assignment: Focus on cardiovascular and respiratory diseases.

Health information management : journal of the Health Information Management Association of Australia May 1, 2019
BACKGROUND: The All Patient-Refined Diagnosis-Related Groups (APR-DRGs) system has adjusted the basic DRG structure by incorporating four severity of illness (SOI) levels, which are used for determining hospital payment. A comprehensive report of all...
Humans Female Sensitivity and Specificity Male Data Accuracy Respiratory Tract Diseases Portugal Diagnosis-Related Groups Hospital Charges Cardiovascular Diseases Comorbidity Severity of Illness Index Support Vector Machine Quality Control
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An ensemble learning method for asthma control level detection with leveraging medical knowledge-based classifier and supervised learning.

Journal of medical systems Apr 26, 2019
Approximately 300 million people are afflicted with asthma around the world, with the estimated death rate of 250,000 cases, indicating the significance of this disease. If not treated, it can turn into a serious public health problem. The best metho...
Environment Supervised Machine Learning Iran Respiratory Function Tests Anti-Asthmatic Agents Bronchodilator Agents Asthma Severity of Illness Index Genetic Predisposition to Disease Socioeconomic Factors Humans Algorithms Biomarkers
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Machine learning for phenotyping opioid overdose events.

Journal of biomedical informatics Apr 25, 2019
OBJECTIVE: To develop machine learning models for classifying the severity of opioid overdose events from clinical data.
Humans Machine Learning Phenotype Electronic Health Records Severity of Illness Index Analgesics, Opioid Drug Overdose
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Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs.

Computers in biology and medicine Apr 24, 2019
OBJECTIVE: Sepsis remains a costly and prevalent syndrome in hospitals; however, machine learning systems can increase timely sepsis detection using electronic health records. This study validates a gradient boosted ensemble machine learning tool for...
Male Middle Aged Severity of Illness Index Diagnosis, Computer-Assisted Sepsis Adolescent Vital Signs Intensive Care Units Humans Electronic Health Records Machine Learning Female Databases, Factual Aged Adult
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Novel pediatric-automated respiratory score using physiologic data and machine learning in asthma.

Pediatric pulmonology Apr 21, 2019
OBJECTIVES: Manual clinical scoring systems are the current standard used for acute asthma clinical care pathways. No automated system exists that assesses disease severity, time course, and treatment impact in pediatric acute severe asthma exacerbat...
Respiratory Rate Oximetry Humans Machine Learning Female Asthma Male Severity of Illness Index Child, Preschool Child Heart Rate
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Advanced atherosclerosis imaging by CT: Radiomics, machine learning and deep learning.

Journal of cardiovascular computed tomography Apr 21, 2019
In the last decade, technical advances in the field of medical imaging significantly improved and broadened the application of coronary CT angiography (CCTA) for the non-invasive assessment of coronary artery disease. Recently, similar breakthroughs ...
Radiographic Image Interpretation, Computer-Assisted Humans Severity of Illness Index Prognosis Deep Learning Coronary Artery Disease Reproducibility of Results Predictive Value of Tests Coronary Vessels Coronary Angiography Plaque, Atherosclerotic Computed Tomography Angiography
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Refining humane endpoints in mouse models of disease by systematic review and machine learning-based endpoint definition.

ALTEX Apr 18, 2019
Ideally, humane endpoints allow for early termination of experiments by minimizing an animal's discomfort, distress and pain, while ensuring that scientific objectives are reached. Yet, lack of commonly agreed methodology and heterogeneity of cut-off...
Mice, Knockout Systematic Reviews as Topic Stroke Body Weight Sepsis Supervised Machine Learning Female Time Factors Animal Welfare Animals Mice Random Allocation Male Disease Models, Animal Body Temperature Severity of Illness Index Mice, Inbred C57BL Ethical Review
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A machine learning approach to knee osteoarthritis phenotyping: data from the FNIH Biomarkers Consortium.

Osteoarthritis and cartilage Apr 16, 2019
OBJECTIVE: Knee osteoarthritis (KOA) is a heterogeneous condition representing a variety of potentially distinct phenotypes. The purpose of this study was to apply innovative machine learning approaches to KOA phenotyping in order to define progressi...
Databases, Factual Biomarkers Female Aged Male Humans Machine Learning Osteoarthritis, Knee Collagen Type II Cartilage, Articular Menisci, Tibial Congresses as Topic Middle Aged Disease Progression Severity of Illness Index United States Pain Measurement National Institutes of Health (U.S.) Biological Variation, Population
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Predicting daily outcomes in acetaminophen-induced acute liver failure patients with machine learning techniques.

Computer methods and programs in biomedicine Apr 11, 2019
BACKGROUND/OBJECTIVE: Assessing prognosis for acetaminophen-induced acute liver failure (APAP-ALF) patients during the first week of hospitalization often presents significant challenges. Current models such as the King's College Criteria (KCC) and t...
Retrospective Studies Liver Failure, Acute Area Under Curve Female Bayes Theorem Adult Middle Aged Humans Registries Sensitivity and Specificity Severity of Illness Index Machine Learning Linear Models Male ROC Curve Databases, Factual Acetaminophen Treatment Outcome Prognosis Predictive Value of Tests
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Main factors influencing recovery in MERS Co-V patients using machine learning.

Journal of infection and public health Apr 10, 2019
BACKGROUND: Middle East Respiratory Syndrome (MERS) is a major infectious disease which has affected the Middle Eastern countries, especially the Kingdom of Saudi Arabia (KSA) since 2012. The high mortality rate associated with this disease has been ...
Survival Bayes Theorem Coronavirus Infections Multivariate Analysis Middle East Respiratory Syndrome Coronavirus Male Middle Aged Infant Health Personnel Severity of Illness Index Female Adolescent Humans Saudi Arabia Aged Child, Preschool Machine Learning Young Adult Child Adult Support Vector Machine Regression Analysis
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