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Hospital Mortality

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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...
Humans Machine Learning Intensive Care Units Female Aged Logistic Models Support Vector Machine Taiwan APACHE Airway Extubation Glasgow Coma Scale Aged, 80 and over Male Middle Aged Hospital Mortality ROC Curve
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Vitamin D in the ICU: More sun for critically ill adult patients?

Nutrition (Burbank, Los Angeles County, Calif.) Nov 16, 2018
Critical illness in patients is characterized by systemic inflammation and oxidative stress. Vitamin D has a myriad of biological functions relevant to this population, including immunomodulation by the alteration of cytokine production and nuclear f...
Vitamin D Humans Vitamin D Deficiency Critical Illness Dietary Supplements Intensive Care Units Vitamins Adult Nutrition Therapy Hospital Mortality
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Optimal intensive care outcome prediction over time using machine learning.

PloS one Nov 14, 2018
BACKGROUND: Prognostication is an essential tool for risk adjustment and decision making in the intensive care unit (ICU). Research into prognostication in ICU has so far been limited to data from admission or the first 24 hours. Most ICU admissions ...
Risk Assessment Sepsis Hospital Mortality ROC Curve Decision Support Systems, Clinical Logistic Models Feasibility Studies Critical Care Datasets as Topic APACHE Patient Admission Intensive Care Units Humans Machine Learning Clinical Decision-Making Prognosis Female Retrospective Studies Aged Male Middle Aged
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Low vitamin D at ICU admission is associated with cancer, infections, acute respiratory insufficiency, and liver failure.

Nutrition (Burbank, Los Angeles County, Calif.) Oct 24, 2018
OBJECTIVES: Vitamin D deficiency may be associated with comorbidities and poor prognosis. However, this association in patients in the intensive care unit (ICU) has not been fully elucidated. The aim of this study was to investigate whether the serum...
Vitamin D Deficiency C-Reactive Protein Acute Disease Respiratory Insufficiency APACHE Infections Comorbidity Severity of Illness Index Time Factors Hospital Mortality Liver Failure Vitamin D Organ Dysfunction Scores Humans Adult Patient Admission Prognosis Cross-Sectional Studies Critical Illness Male Intensive Care Units Middle Aged Female Neoplasms Aged Respiration, Artificial
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Validation of deep-learning-based triage and acuity score using a large national dataset.

PloS one Oct 15, 2018
AIM: Triage is important in identifying high-risk patients amongst many less urgent patients as emergency department (ED) overcrowding has become a national crisis recently. This study aims to validate that a Deep-learning-based Triage and Acuity Sco...
Deep Learning Cohort Studies Hospital Mortality ROC Curve Triage Area Under Curve Emergency Service, Hospital Risk Emergency Medicine Reproducibility of Results Aged Adult Male Middle Aged Humans Severity of Illness Index Databases, Factual Retrospective Studies Republic of Korea Female
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Benchmarking deep learning models on large healthcare datasets.

Journal of biomedical informatics Jun 5, 2018
Deep learning models (aka Deep Neural Networks) have revolutionized many fields including computer vision, natural language processing, speech recognition, and is being increasingly used in clinical healthcare applications. However, few works exist w...
International Classification of Diseases Middle Aged Deep Learning Humans Length of Stay Neural Networks, Computer Hospital Mortality Algorithms Benchmarking Forecasting Databases, Factual Intensive Care Units Female Aged Aged, 80 and over Male
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Machine Learning for Outcome Prediction in Electroencephalograph (EEG)-Monitored Children in the Intensive Care Unit.

Journal of child neurology May 13, 2018
The aim of this study was to evaluate the performance of models predicting in-hospital mortality in critically ill children undergoing continuous electroencephalography (cEEG) in the intensive care unit (ICU). We evaluated the performance of machine ...
Prognosis Female Infant, Newborn Young Adult Sensitivity and Specificity Male Humans Machine Learning Neurophysiological Monitoring Hospital Mortality Area Under Curve Electroencephalography Epilepsy Seizures Infant Critical Care Diagnosis, Computer-Assisted Adolescent Child, Preschool Child
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The Dependence of Machine Learning on Electronic Medical Record Quality.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
There is growing interest in applying machine learning methods to Electronic Medical Records (EMR). Across different institutions, however, EMR quality can vary widely. This work investigated the impact of this disparity on the performance of three a...
Data Accuracy Coronary Care Units Hospital Mortality Intensive Care Units, Pediatric Logistic Models Hospitals, Pediatric Los Angeles Algorithms Humans Electronic Health Records Machine Learning Infant Adolescent Child, Preschool Child
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Calibration Drift Among Regression and Machine Learning Models for Hospital Mortality.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Advanced regression and machine learning models can provide personalized risk predictions to support clinical decision-making. We aimed to understand whether modeling methods impact the tendency of calibration to deteriorate as patient populations sh...
Adult Male Hospital Mortality Logistic Models United States Models, Statistical Area Under Curve Calibration Proportional Hazards Models United States Department of Veterans Affairs Risk Humans Neural Networks, Computer Machine Learning Female Hospitals, Veterans
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Predicting central line-associated bloodstream infections and mortality using supervised machine learning.

Journal of critical care Feb 21, 2018
PURPOSE: The purpose of this study was to compare machine learning techniques for predicting central line-associated bloodstream infection (CLABSI).
Hospital Mortality Bacteremia Logistic Models Predictive Value of Tests Central Venous Catheters Catheter-Related Infections Intensive Care Units Female Male Middle Aged Risk Assessment Supervised Machine Learning Florida Simplified Acute Physiology Score Humans Databases, Factual
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