AIMC Topic: Severity of Illness Index

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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...
Prospective Studies Female Aged Male Middle Aged Humans Machine Learning Esophageal and Gastric Varices Ascites Creatinine Non-alcoholic Fatty Liver Disease Hemoglobins Sodium Risk Assessment Severity of Illness Index Liver Cirrhosis Mass Screening International Normalized Ratio Endoscopy, Digestive System Thrombocytopenia Platelet Count Hepatitis C, Chronic Alanine Transaminase Aspartate Aminotransferases Bilirubin Liver Cirrhosis, Alcoholic Gastrointestinal Hemorrhage Hepatic Encephalopathy Serum Albumin Blood Urea Nitrogen
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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...
Hospitals, Urban Humans Machine Learning Retrospective Studies Severity of Illness Index Female Sepsis Aged Early Diagnosis Sensitivity and Specificity Lactic Acid Male Organ Dysfunction Scores Middle Aged
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A Machine Learning Approach to Predicting Case Duration for Robot-Assisted Surgery.

Journal of medical systems Jan 5, 2019
Robot-assisted surgery (RAS) requires a large capital investment by healthcare organizations. The cost of a robotic unit is fixed, so institutions must maximize use of each unit by utilizing all available operating room block time. One way to increas...
Humans Neural Networks, Computer Machine Learning Female Operative Time Robotic Surgical Procedures Sex Factors Efficiency, Organizational Linear Models Operating Rooms Aged Male Comorbidity Severity of Illness Index Age Factors
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Prediction and evaluation of the severity of acute respiratory distress syndrome following severe acute pancreatitis using an artificial neural network algorithm model.

HPB : the official journal of the International Hepato Pancreato Biliary Association Dec 24, 2018
BACKGROUND: To predict the risk and severity of acute respiratory distress syndrome (ARDS) following severe acute pancreatitis (SAP) by artificial neural networks (ANNs) model.
Pancreatitis Middle Aged Risk Assessment Severity of Illness Index Respiratory Distress Syndrome Predictive Value of Tests Female Reproducibility of Results Risk Factors Adult Neural Networks, Computer Male Decision Support Techniques Humans Prognosis
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Decreased circulating catestatin levels are associated with coronary artery disease: The emerging anti-inflammatory role.

Atherosclerosis Dec 24, 2018
BACKGROUND AND AIMS: The neuropeptide catestatin (CST) is an endogenous nicotinic cholinergic antagonist that acts as pleiotropic cardiac protective hormone. This study investigated the association between CST and coronary artery disease (CAD) and th...
Coronary Artery Disease Atherosclerosis Down-Regulation Humans Chromogranin A Cell Adhesion Molecules Case-Control Studies Biomarkers Cells, Cultured Mice, Knockout, ApoE Angiotensin-Converting Enzyme 2 Female Cytokines Peptidyl-Dipeptidase A Animals Plaque, Atherosclerotic Male Severity of Illness Index Disease Models, Animal Human Umbilical Vein Endothelial Cells Peptide Fragments Anti-Inflammatory Agents
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Correlation of the modified Medical Research Council dyspnea scale with airway structure assessed by three-dimensional CT in patients with chronic obstructive pulmonary disease.

Respiratory medicine Dec 12, 2018
BACKGROUND: Dyspnea is a common symptom in chronic obstructive pulmonary disease (COPD). The modified Medical Research Council (mMRC) dyspnea scale is a widely used questionnaire to assess dyspnea. However, the relationship of the mMRC dyspnea scale ...
Respiratory Function Tests Male Multidetector Computed Tomography Humans Middle Aged Female Severity of Illness Index Aged Forced Expiratory Volume Aged, 80 and over Dyspnea Pulmonary Disease, Chronic Obstructive
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Chronic Kidney Disease stratification using office visit records: Handling data imbalance via hierarchical meta-classification.

BMC medical informatics and decision making Dec 12, 2018
BACKGROUND: Chronic Kidney Disease (CKD) is one of several conditions that affect a growing percentage of the US population; the disease is accompanied by multiple co-morbidities, and is hard to diagnose in-and-of itself. In its advanced forms it car...
Severity of Illness Index Renal Insufficiency, Chronic Office Visits Humans Machine Learning Electronic Health Records Female Aged Aged, 80 and over Sensitivity and Specificity Male Middle Aged
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Validation of Prediction Models for Critical Care Outcomes Using Natural Language Processing of Electronic Health Record Data.

JAMA network open Dec 7, 2018
IMPORTANCE: Accurate prediction of outcomes among patients in intensive care units (ICUs) is important for clinical research and monitoring care quality. Most existing prediction models do not take full advantage of the electronic health record, usin...
Severity of Illness Index Aged Models, Statistical Retrospective Studies Aged, 80 and over Natural Language Processing Critical Illness Adult Humans Critical Care Outcomes Intensive Care Units Electronic Health Records Male Middle Aged Female Reproducibility of Results
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Ascertaining Depression Severity by Extracting Patient Health Questionnaire-9 (PHQ-9) Scores from Clinical Notes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
The Patient Health Questionnaire-9 (PHQ-9) is a validated instrument for assessing depression severity. While some electronic health record (EHR) systems capture PHQ-9 scores in a structured format, unstructured clinical notes remain the only source ...
Electronic Health Records Adult Severity of Illness Index Natural Language Processing Information Storage and Retrieval Depressive Disorder Patient Health Questionnaire Humans
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DeepSeeNet: A Deep Learning Model for Automated Classification of Patient-based Age-related Macular Degeneration Severity from Color Fundus Photographs.

Ophthalmology Nov 22, 2018
PURPOSE: In assessing the severity of age-related macular degeneration (AMD), the Age-Related Eye Disease Study (AREDS) Simplified Severity Scale predicts the risk of progression to late AMD. However, its manual use requires the time-consuming partic...
Humans Prospective Studies Female Deep Learning Models, Theoretical Area Under Curve Male Retinal Drusen Diagnostic Techniques, Ophthalmological Reproducibility of Results Geographic Atrophy Middle Aged Photography Risk Factors Aged Disease Progression Aged, 80 and over Severity of Illness Index Sensitivity and Specificity Diagnosis, Computer-Assisted
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