Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study-Reference-Cited by-同舟云学术

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Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study

Published:2021-08 Issue:8 Volume:3 Page:e471-e485
ISSN:2589-7500
Container-title:The Lancet Digital Health
language:en
Short-container-title:The Lancet Digital Health

Author:

Bonde Alexander,Varadarajan Kartik M,Bonde Nicholas,Troelsen Anders,Muratoglu Orhun K,Malchau Henrik,Yang Anthony D,Alam Hasan,Sillesen Martin

Funder

Zimmer Biomet

Novo Nordisk Fonden

Pfizer

Publisher

Elsevier BV

Subject

Health Information Management,Decision Sciences (miscellaneous),Health Informatics,Medicine (miscellaneous)

Reference28 articles.

1. An estimation of the global volume of surgery: a modelling strategy based on available data;Weiser;Lancet,2008

2. The burden of surgical conditions and access to surgical care in low- and middle-income countries;Ozgediz;Bull World Health Organ,2008

3. Hospital and payer costs associated with surgical complications;Healy;JAMA Surg,2016

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. Surgical Risk Preoperative Assessment System (SURPAS): III. accurate preoperative prediction of 8 adverse outcomes using 8 predictor variables;Meguid;Ann Surg,2016

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