AIMC Topic: Hospital Mortality

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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...
Humans Hospitalization Neural Networks, Computer Risk Assessment Hospital Mortality Machine Learning Logistic Models Prognosis Databases, Genetic Intensive Care Units
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Deep learning for predicting in-hospital mortality among heart disease patients based on echocardiography.

Echocardiography (Mount Kisco, N.Y.) Dec 4, 2018
BACKGROUND: Heart disease (HD) is the leading cause of global death; there are several mortality prediction models of HD for identifying critically-ill patients and for guiding decision making. The existing models, however, cannot be used during init...
Predictive Value of Tests Heart Heart Diseases Middle Aged Risk Assessment Deep Learning Cohort Studies Hospital Mortality Humans Retrospective Studies Female Reproducibility of Results Risk Factors Aged Male Echocardiography
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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 ROC Curve Logistic Models Biomarkers Models, Theoretical Reproducibility of Results Inflammation Aged Time Factors Treatment Outcome Hospital Mortality Acute Coronary Syndrome
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Characterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry study.

PLoS medicine Nov 30, 2018
BACKGROUND: Resuscitated cardiac arrest is associated with high mortality; however, the ability to estimate risk of adverse outcomes using existing illness severity scores is limited. Using in-hospital data available within the first 24 hours of admi...
New Zealand Cardiopulmonary Resuscitation Heart Arrest Hospital Mortality Treatment Outcome Health Status Australia Registries Databases, Factual Retrospective Studies Clinical Decision-Making Female Risk Factors Aged Male Middle Aged Risk Assessment Time Factors Humans Machine Learning Decision Support Techniques
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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 Patient Admission Hospitalization Hospital Mortality ROC Curve Logistic Models Emergency Service, Hospital
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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 Airway Extubation Glasgow Coma Scale ROC Curve Aged Logistic Models Aged, 80 and over Male Support Vector Machine Middle Aged Taiwan Hospital Mortality APACHE
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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...
Humans Critical Illness Intensive Care Units Adult Hospital Mortality Vitamin D Vitamin D Deficiency Dietary Supplements Vitamins Nutrition Therapy
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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 ...
Intensive Care Units Clinical Decision-Making Female Aged Male Middle Aged Risk Assessment Sepsis Hospital Mortality ROC Curve APACHE Humans Patient Admission Machine Learning Prognosis Decision Support Systems, Clinical Retrospective Studies Logistic Models Feasibility Studies Critical Care Datasets as Topic
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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...
Patient Admission Respiratory Insufficiency Aged APACHE Hospital Mortality Adult Infections Vitamin D Cross-Sectional Studies Liver Failure Vitamin D Deficiency Male Organ Dysfunction Scores C-Reactive Protein Middle Aged Neoplasms Acute Disease Humans Respiration, Artificial Prognosis Comorbidity Critical Illness Severity of Illness Index Intensive Care Units Time Factors Female
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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...
Risk Republic of Korea Emergency Medicine Female Reproducibility of Results Hospital Mortality Aged ROC Curve Adult Triage Humans Male Area Under Curve Databases, Factual Middle Aged Emergency Service, Hospital Retrospective Studies Severity of Illness Index Deep Learning Cohort Studies
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