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Critical Care

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A customizable deep learning model for nosocomial risk prediction from critical care notes with indirect supervision.

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2020
OBJECTIVE: Reliable longitudinal risk prediction for hospitalized patients is needed to provide quality care. Our goal is to develop a generalizable model capable of leveraging clinical notes to predict healthcare-associated diseases 24-96 hours in a...
Acute Kidney Injury Electronic Health Records Risk Assessment Humans Retrospective Studies Anemia Pressure Ulcer Iatrogenic Disease Deep Learning ROC Curve Support Vector Machine Natural Language Processing Area Under Curve Critical Care
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Temporal convolutional networks allow early prediction of events in critical care.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2020
OBJECTIVE: Clinical interventions and death in the intensive care unit (ICU) depend on complex patterns in patients' longitudinal data. We aim to anticipate these events earlier and more consistently so that staff can consider preemptive action.
Female Hospitalization Aged Computer Simulation Humans Prognosis Hospital Mortality Neural Networks, Computer Intensive Care Units Aged, 80 and over Logistic Models Machine Learning Critical Care Male Middle Aged
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Precision Intensive Care: A Real-Time Artificial Intelligence Strategy for the Future.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Feb 1, 2019
Child Critical Care Humans Artificial Intelligence Intensive Care Units
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What every intensivist should know about Big Data and targeted machine learning in the intensive care unit.

Revista Brasileira de terapia intensiva Jan 1, 2019
Delivery of Health Care Intensive Care Units Big Data Humans Machine Learning Critical Care
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Artificial Intelligence in Critical Care.

International anesthesiology clinics Jan 1, 2019
Critical Care Humans Artificial Intelligence Intensive Care Units Clinical Decision-Making
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Predicting Pressure Injury in Critical Care Patients: A Machine-Learning Model.

American journal of critical care : an official publication, American Association of Critical-Care Nurses Nov 1, 2018
BACKGROUND: Hospital-acquired pressure injuries are a serious problem among critical care patients. Some can be prevented by using measures such as specialty beds, which are not feasible for every patient because of costs. However, decisions about wh...
Pressure Ulcer Beds Iatrogenic Disease Humans Machine Learning Middle Aged Risk Assessment Severity of Illness Index ROC Curve Aged Electronic Health Records Adult Predictive Value of Tests Female Male Critical Care Risk Factors
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Artificial Intelligence in Pediatric Critical Care Medicine: Are We (Finally) Ready?

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Oct 1, 2018
Artificial Intelligence Length of Stay Child Critical Care Humans
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Advancing In-Hospital Clinical Deterioration Prediction Models.

American journal of critical care : an official publication, American Association of Critical-Care Nurses Sep 1, 2018
BACKGROUND: Early warning systems lack robust evidence that they improve patients' outcomes, possibly because of their limitation of predicting binary rather than time-to-event outcomes.
Heart Arrest Clinical Deterioration Models, Statistical Critical Care Academic Medical Centers Machine Learning Humans Retrospective Studies Cohort Studies
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Predicting Mortality in the Surgical Intensive Care Unit Using Artificial Intelligence and Natural Language Processing of Physician Documentation.

The American surgeon Jul 1, 2018
The purpose of this study was to use natural language processing of physician documentation to predict mortality in patients admitted to the surgical intensive care unit (SICU). The Multiparameter Intelligent Monitoring in Intensive Care III database...
General Surgery Natural Language Processing Critical Care Documentation ROC Curve Severity of Illness Index Retrospective Studies Humans United States Length of Stay Artificial Intelligence Intensive Care Units Predictive Value of Tests Hospital Mortality Electronic Health Records
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Striking the Right Balance-Applying Machine Learning to Pediatric Critical Care Data.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Jul 1, 2018
Child Humans Critical Care Machine Learning
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