Prognostic machine learning models for COVID‐19 to facilitate decision making-Reference-Cited by-同舟云学术

Prognostic machine learning models for COVID‐19 to facilitate decision making

Published:2020-09-29 Issue:12 Volume:74 Page:
ISSN:1368-5031
Container-title:International Journal of Clinical Practice
language:en
Short-container-title:Int J Clin Pract

Author:

Subudhi Sonu¹^ORCID,Verma Ashish²,Patel Ankit B.²

Affiliation:

1. Gastroenterology Unit Department of Medicine Massachusetts General HospitalHarvard Medical School Boston MA USA

2. Renal Division Department of Medicine Brigham and Women's Hospital Harvard Medical School Boston MA USA

Publisher

Hindawi Limited

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ijcp.13685

Reference14 articles.

1. Lower mortality of COVID-19 by early recognition and intervention: experience from Jiangsu Province

2. Intensive care management of coronavirus disease 2019 (COVID-19): challenges and recommendations

3. World Health Organization.Coronavirus disease (COVID‐2019) situation reports;2020.https://www.who.int/emergencies/diseases/novel‐coronavirus‐2019/situation‐reports. Accessed June 23 2020.

4. Prediction of cardiac arrest in critically ill patients presenting to the emergency department using a machine learning score incorporating heart rate variability compared with the modified early warning score

5. Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards

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