publication . Article . 2021

Development and Prospective Validation of a Deep Learning Algorithm for Predicting Need for Mechanical Ventilation

Supreeth P. Shashikumar; Gabriel Wardi; Paulina Paul; Morgan Carlile; Laura N Brenner; Kathryn Hibbert; Crystal M. North; Shibani S. Mukerji; Gregory K. Robbins; Yu-Ping Shao; ...
Open Access English
  • Published: 01 Jun 2021 Journal: Chest (issn: 0012-3692, eissn: 1931-3543, Copyright policy)
  • Publisher: American College of Chest Physicians. Published by Elsevier Inc.
  • Country: United States
BackgroundObjective and early identification of hospitalized patients, and particularly those with novel coronavirus disease 2019 (COVID-19), who may require mechanical ventilation (MV) may aid in delivering timely treatment.Research questionCan a transparent deep learning (DL) model predict the need for MV in hospitalized patients and those with COVID-19 up to 24 h in advance?Study design and methodsWe trained and externally validated a transparent DL algorithm to predict the future need for MV in hospitalized patients, including those with COVID-19, using commonly available data in electronic health records. Additionally, commonly used clinical criteria (...
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free text keywords: Chest Infections: CHEST Review, artificial intelligence, artificial respiration, coronavirus, deep learning, lung, AUC, area under the receiver operating characteristic curve, COVID-19, coronavirus disease 2019, DL, deep learning, EHR, electronic health record, IQR, interquartile range, MGH, Massachusetts General Hospital, ML, machine learning, MV, mechanical ventilation, PEEP, positive end-expiratory pressure, UCSD, University of California San Diego Health, artificial intelligence, artificial respiration, coronavirus, deep learning, lung, Clinical Sciences, Respiratory System, Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Tracheal intubation, medicine.medical_treatment, medicine, Coronavirus disease 2019 (COVID-19), Artificial intelligence, business.industry, business, Deep learning, Receiver operating characteristic, Algorithm, Hospitalized patients, Mechanical ventilation, Health records, Artificial respiration
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