AIMC Topic: Severity of Illness Index

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Deep learning to automate Brasfield chest radiographic scoring for cystic fibrosis.

Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society May 2, 2019
BACKGROUND: The aim of this study was to evaluate the hypothesis that a deep convolutional neural network (DCNN) model could facilitate automated Brasfield scoring of chest radiographs (CXRs) for patients with cystic fibrosis (CF), performing similar...
Child Cystic Fibrosis Pediatrics Radiography, Thoracic Research Design Prognosis Tomography, X-Ray Computed Female Reproducibility of Results Male Lung Severity of Illness Index Deep Learning Humans Neural Networks, Computer
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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 Cardiovascular Diseases Data Accuracy Respiratory Tract Diseases Portugal Diagnosis-Related Groups Hospital Charges 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...
Respiratory Function Tests Anti-Asthmatic Agents Bronchodilator Agents Environment Severity of Illness Index Genetic Predisposition to Disease Socioeconomic Factors Supervised Machine Learning Iran Humans Algorithms Biomarkers Asthma
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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...
Adult Male Middle Aged Severity of Illness Index Diagnosis, Computer-Assisted Databases, Factual Sepsis Intensive Care Units Adolescent Electronic Health Records Vital Signs Female Humans Aged Machine Learning
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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 Severity of Illness Index Child, Preschool Child Heart Rate Humans Machine Learning Female Asthma Male
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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 ...
Humans Plaque, Atherosclerotic Computed Tomography Angiography Predictive Value of Tests Prognosis Coronary Angiography Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Severity of Illness Index Coronary Artery Disease Deep Learning Coronary Vessels
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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 Sepsis Systematic Reviews as Topic Time Factors Supervised Machine Learning Stroke Female Mice Animal Welfare Body Weight Animals Disease Models, Animal Random Allocation Male Mice, Inbred C57BL Body Temperature Severity of Illness Index 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...
Humans Machine Learning Databases, Factual Middle Aged Disease Progression Severity of Illness Index United States Pain Measurement Biomarkers Female Aged Male Congresses as Topic National Institutes of Health (U.S.) Biological Variation, Population Osteoarthritis, Knee Collagen Type II Cartilage, Articular Menisci, Tibial
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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 Acetaminophen Female Humans Predictive Value of Tests Adult Middle Aged Liver Failure, Acute Machine Learning Sensitivity and Specificity Severity of Illness Index Area Under Curve Databases, Factual Male ROC Curve Prognosis Bayes Theorem Treatment Outcome Registries Linear Models
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