AI Medical Compendium Topic:
Logistic Models

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An Interpretable ICU Mortality Prediction Model Based on Logistic Regression and Recurrent Neural Networks with LSTM units.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Most existing studies used logistic regression to establish scoring systems to predict intensive care unit (ICU) mortality. Machine learning-based approaches can achieve higher prediction accuracy but, unlike the scoring systems, frequently cannot pr...
Logistic Models Intensive Care Units Humans Neural Networks, Computer Hospitalization Databases, Genetic Machine Learning Risk Assessment Prognosis Hospital Mortality
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Application of Machine Learning Methods to Predict Non-Alcoholic Steatohepatitis (NASH) in Non-Alcoholic Fatty Liver (NAFL) Patients.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Non-alcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease worldwide. NAFLD patients have excessive liver fat (steatosis), without other liver diseases and without excessive alcohol consumption. NAFLD consists of a spectr...
Diabetes Mellitus, Type 2 Fatty Liver Logistic Models Liver Cirrhosis Health Status Middle Aged Disease Progression Case-Control Studies Humans Cohort Studies Biomarkers Alanine Transaminase Decision Trees Electronic Health Records Aspartate Aminotransferases Supervised Machine Learning Female Liver Function Tests Non-alcoholic Fatty Liver Disease Risk Factors Hepatitis Aged Male
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Biomarkers of erosive arthritis in systemic lupus erythematosus: Application of machine learning models.

PloS one Dec 4, 2018
OBJECTIVE: Limited evidences are available on biomarkers to recognize Systemic Lupus erythematosus (SLE) patients at risk to develop erosive arthritis. Anti-citrullinated peptide antibodies (ACPA) have been widely investigated and identified in up to...
Logistic Models Anti-Citrullinated Protein Antibodies Decision Trees Lupus Erythematosus, Systemic Autoantibodies Rheumatoid Factor Arthritis Protein Carbamylation Cross-Sectional Studies Male Middle Aged Cohort Studies Ultrasonography Biomarkers Female Risk Factors Adult Humans Machine Learning
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Machine-learned models using hematological inflammation markers in the prediction of short-term acute coronary syndrome outcomes.

Journal of translational medicine Dec 3, 2018
BACKGROUND: Increased systemic and local inflammation play a vital role in the pathophysiology of acute coronary syndrome. This study aimed to assess the usefulness of selected machine learning methods and hematological markers of inflammation in pre...
Humans Machine Learning Biomarkers Reproducibility of Results Logistic Models Inflammation Aged Models, Theoretical Time Factors Treatment Outcome Hospital Mortality Acute Coronary Syndrome ROC Curve
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A comparison of logistic regression models with alternative machine learning methods to predict the risk of in-hospital mortality in emergency medical admissions via external validation.

Health informatics journal Nov 29, 2018
We compare the performance of logistic regression with several alternative machine learning methods to estimate the risk of death for patients following an emergency admission to hospital based on the patients' first blood test results and physiologi...
Humans Machine Learning Hospitalization Hospital Mortality ROC Curve Logistic Models Emergency Service, Hospital Patient Admission
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A Machine Learning Approach to Predicting Need for Hospitalization for Pediatric Asthma Exacerbation at the Time of Emergency Department Triage.

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine Nov 29, 2018
OBJECTIVES: Pediatric asthma is a leading cause of emergency department (ED) utilization and hospitalization. Earlier identification of need for hospital-level care could triage patients more efficiently to high- or low-resource ED tracks. Existing t...
Status Asthmaticus ROC Curve Logistic Models Triage Emergency Service, Hospital Machine Learning Retrospective Studies Female Hospitalization Male Risk Assessment Adolescent Child, Preschool Humans Child
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A deep learning model for the detection of both advanced and early glaucoma using fundus photography.

PloS one Nov 27, 2018
PURPOSE: To build a deep learning model to diagnose glaucoma using fundus photography.
Humans ROC Curve Logistic Models Fundus Oculi Image Interpretation, Computer-Assisted Glaucoma Diagnostic Techniques, Ophthalmological Cross-Sectional Studies Disease Progression Deep Learning
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A reliable method for colorectal cancer prediction based on feature selection and support vector machine.

Medical & biological engineering & computing Nov 26, 2018
Colorectal cancer (CRC) is a common cancer responsible for approximately 600,000 deaths per year worldwide. Thus, it is very important to find the related factors and detect the cancer accurately. However, timely and accurate prediction of the diseas...
Humans Logistic Models Body Mass Index Reproducibility of Results Support Vector Machine Sensitivity and Specificity Area Under Curve Colorectal Neoplasms Models, Biological ROC Curve
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The Sydney Triage to Admission Risk Tool (START2) using machine learning techniques to support disposition decision-making.

Emergency medicine Australasia : EMA Nov 23, 2018
OBJECTIVE: To further develop and refine an Emergency Department (ED) in-patient admission prediction model using machine learning techniques.
Triage Area Under Curve Emergency Service, Hospital Bayes Theorem Patient Admission Middle Aged Adolescent ROC Curve Logistic Models New South Wales Humans Machine Learning Forecasting Retrospective Studies Female Aged Aged, 80 and over Adult Male
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Comparison of machine learning models for the prediction of mortality of patients with unplanned extubation in intensive care units.

Scientific reports Nov 20, 2018
Unplanned extubation (UE) can be associated with fatal outcome; however, an accurate model for predicting the mortality of UE patients in intensive care units (ICU) is lacking. Therefore, we aim to compare the performances of various machine learning...
Female Aged Aged, 80 and over Male Middle Aged Humans Machine Learning Intensive Care Units Taiwan APACHE Hospital Mortality Airway Extubation ROC Curve Glasgow Coma Scale Logistic Models Support Vector Machine
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