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Intensive Care Units

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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...
Airway Extubation Glasgow Coma Scale Aged, 80 and over Male Middle Aged Hospital Mortality ROC Curve Logistic Models Support Vector Machine Taiwan APACHE Humans Machine Learning Intensive Care Units Female Aged
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Machine learning in critical care: state-of-the-art and a sepsis case study.

Biomedical engineering online Nov 20, 2018
BACKGROUND: Like other scientific fields, such as cosmology, high-energy physics, or even the life sciences, medicine and healthcare face the challenge of an extremely quick transformation into data-driven sciences. This challenge entails the dauntin...
Machine Learning Software Data Analysis Prospective Studies Prognosis Humans Artificial Intelligence Expert Systems Medical Informatics Computer Graphics Intensive Care Units Reproducibility of Results Sepsis Probability Critical Care
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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...
Nutrition Therapy Hospital Mortality Humans Vitamin D Critical Illness Vitamin D Deficiency Intensive Care Units Dietary Supplements Adult Vitamins
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Deep learning algorithms to identify documentation of serious illness conversations during intensive care unit admissions.

Palliative medicine Nov 14, 2018
Humans Algorithms Guidelines as Topic Boston Admitting Department, Hospital Male Health Personnel Middle Aged Intensive Care Units Deep Learning Female Critical Care Adult Documentation
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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 Clinical Decision-Making Female Aged Male Middle Aged Machine Learning Prognosis Retrospective Studies Intensive Care Units APACHE Patient Admission Humans
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Applying machine learning to continuously monitored physiological data.

Journal of clinical monitoring and computing Nov 11, 2018
The use of machine learning (ML) in healthcare has enormous potential for improving disease detection, clinical decision support, and workflow efficiencies. In this commentary, we review published and potential applications for the use of ML for moni...
Intensive Care Units Electronic Health Records Adult Respiration, Artificial Sepsis Machine Learning Software Algorithms Databases, Factual Atrial Fibrillation Critical Care Expert Systems Wavelet Analysis Clinical Alarms Decision Support Systems, Clinical Monitoring, Physiologic Randomized Controlled Trials as Topic Delirium Arrhythmias, Cardiac Humans
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Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks.

Artificial intelligence in medicine Nov 9, 2018
INTRODUCTION: Blood cultures are often performed in the intensive care unit (ICU) to detect bloodstream infections and identify pathogen type, further guiding treatment. Early detection is essential, as a bloodstream infection can give cause to sepsi...
Humans Neural Networks, Computer Intensive Care Units Electronic Health Records Blood Culture
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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...
Comorbidity Humans Infections Severity of Illness Index Prognosis Liver Failure Male Intensive Care Units Time Factors Vitamin D Deficiency Critical Illness Organ Dysfunction Scores Middle Aged Hospital Mortality Female C-Reactive Protein Patient Admission Neoplasms Aged Vitamin D Acute Disease Respiration, Artificial Adult Respiratory Insufficiency Cross-Sectional Studies APACHE
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Big data and targeted machine learning in action to assist medical decision in the ICU.

Anaesthesia, critical care & pain medicine Oct 16, 2018
Historically, personalised medicine has been synonymous with pharmacogenomics and oncology. We argue for a new framework for personalised medicine analytics that capitalises on more detailed patient-level data and leverages recent advances in causal ...
Precision Medicine Intensive Care Units Big Data Decision Support Systems, Clinical Humans Machine Learning Forecasting
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Machine learning for real-time prediction of complications in critical care: a retrospective study.

The Lancet. Respiratory medicine Sep 28, 2018
BACKGROUND: The large amount of clinical signals in intensive care units can easily overwhelm health-care personnel and can lead to treatment delays, suboptimal care, or clinical errors. The aim of this study was to apply deep machine learning method...
Deep Learning Intensive Care Units ROC Curve Female Aged Humans Predictive Value of Tests Outcome Assessment, Health Care Male Postoperative Hemorrhage Retrospective Studies Middle Aged Cardiac Surgical Procedures Renal Insufficiency
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