Deep-learning model for predicting 30-day postoperative mortality-Reference-Cited by-同舟云学术

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Deep-learning model for predicting 30-day postoperative mortality

Published:2019-11 Issue:5 Volume:123 Page:688-695
ISSN:0007-0912
Container-title:British Journal of Anaesthesia
language:en
Short-container-title:British Journal of Anaesthesia

Author:

Fritz Bradley A.,Cui Zhicheng,Zhang Muhan,He Yujie,Chen Yixin,Kronzer Alex,Ben Abdallah Arbi,King Christopher R.,Avidan Michael S.

Funder

Agency for Healthcare Research and Quality

National Science Foundation

Publisher

Elsevier BV

Subject

Anesthesiology and Pain Medicine

Reference27 articles.

1. Global patient outcomes after elective surgery: prospective cohort study in 27 low-, middle- and high-income countries;Br J Anaesth,2016

2. Mortality of emergency abdominal surgery in high-, middle-, and low-income countries;Br J Surg,2016

3. Risk stratification tools for predicting morbidity and mortality in adult patients undergoing major surgery: qualitative systematic review;Moonesinghe;Anesthesiology,2013

4. Development and evaluation of the universal ACS NSQIP surgical risk calculator: a decision aid and informed consent tool for patients and surgeons;Bilimoria;J Am Coll Surg,2013

5. Systematic errors in medical decision making: judgement limitations;Dawson;J Gen Intern Med,1987

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