A Machine Learning Prediction Model of Respiratory Failure Within 48 Hours of Patient Admission for COVID-19: Model Development and Validation
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Machine Learning Prediction Model of Respiratory Failure Within 48 Hours of Patient Admission for COVID-19: Model Development and Validation
Authors
Keywords
-
Journal
JOURNAL OF MEDICAL INTERNET RESEARCH
Volume 23, Issue 2, Pages e24246
Publisher
JMIR Publications Inc.
Online
2021-01-22
DOI
10.2196/24246
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China
- (2020) Qiurong Ruan et al. INTENSIVE CARE MEDICINE
- Basing Respiratory Management of COVID-19 on Physiological Principles
- (2020) Martin J. Tobin AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE
- The second worldwide wave of interest in coronavirus since the COVID-19 outbreaks in South Korea, Italy and Iran: A Google Trends study
- (2020) Artur Strzelecki BRAIN BEHAVIOR AND IMMUNITY
- Correction to: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China
- (2020) Qiurong Ruan et al. INTENSIVE CARE MEDICINE
- Characteristics of Hospitalized Adults With COVID-19 in an Integrated Health Care System in California
- (2020) Laura C. Myers et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area
- (2020) Safiya Richardson et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Beware of the second wave of COVID-19
- (2020) Shunqing Xu et al. LANCET
- Clinical Characteristics of Covid-19 in New York City
- (2020) Parag Goyal et al. NEW ENGLAND JOURNAL OF MEDICINE
- Development and Validation of a Clinical Risk Score to Predict the Occurrence of Critical Illness in Hospitalized Patients With COVID-19
- (2020) Wenhua Liang et al. JAMA Internal Medicine
- Development and validation of the quick COVID-19 severity index (qCSI): a prognostic tool for early clinical decompensation
- (2020) Adrian Haimovich et al. ANNALS OF EMERGENCY MEDICINE
- Utilization of machine-learning models to accurately predict the risk for critical COVID-19
- (2020) Dan Assaf et al. Internal and Emergency Medicine
- Breast Cancer Prognosis Using a Machine Learning Approach
- (2019) Patrizia Ferroni et al. Cancers
- Validation of Early Warning Scores at Two Long-Term Acute Care Hospitals
- (2019) Matthew M. Churpek et al. CRITICAL CARE MEDICINE
- Machine Learning for Predicting Outcomes in Trauma
- (2017) Nehemiah T. Liu et al. SHOCK
- Early warning scores for detecting deterioration in adult hospital patients: a systematic review protocol
- (2017) Stephen Gerry et al. BMJ Open
- Timing of Intubation and Clinical Outcomes in Adults With Acute Respiratory Distress Syndrome*
- (2016) Kirsten Neudoerffer Kangelaris et al. CRITICAL CARE MEDICINE
- Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards
- (2016) Matthew M. Churpek et al. CRITICAL CARE MEDICINE
- National Early Warning Score (NEWS) as an emergency department predictor of disease severity and 90-day survival in the acutely dyspneic patient – a prospective observational study
- (2016) Bente Bilben et al. Scandinavian Journal of Trauma Resuscitation & Emergency Medicine
- Machine learning applications in cancer prognosis and prediction
- (2015) Konstantina Kourou et al. Computational and Structural Biotechnology Journal
- Adverse outcomes associated with delayed intensive care unit transfers in an integrated healthcare system
- (2011) Vincent Liu et al. Journal of Hospital Medicine
- Dual coordinate descent methods for logistic regression and maximum entropy models
- (2010) Hsiang-Fu Yu et al. MACHINE LEARNING
- Association between timing of intensive care unit admission and outcomes for emergency department patients with community-acquired pneumonia*
- (2009) Bertrand Renaud et al. CRITICAL CARE MEDICINE
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search