Development and Internal-External Validation of a Post-Operative Mortality Risk Calculator for Pediatric Surgical Patients in Low- and Middle- Income Countries using Machine Learning-Reference-Cited by-同舟云学术

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Development and Internal-External Validation of a Post-Operative Mortality Risk Calculator for Pediatric Surgical Patients in Low- and Middle- Income Countries using Machine Learning

Published:2024-08 Issue: Volume: Page:161883
ISSN:0022-3468
Container-title:Journal of Pediatric Surgery
language:en
Short-container-title:Journal of Pediatric Surgery

Author:

Eyler Dang Lauren^ORCID,Klazura Greg^ORCID,Yap Ava^ORCID,Ozgediz Doruk,Bryce Emma^ORCID,Cheung Maija,Fedatto Maíra,Ameh Emmanuel A.^ORCID

Funder

National Institutes of Health

National Institutes of Health Fogarty International Center

Publisher

Elsevier BV

Reference39 articles.

1. Perioperative mortality rates in low-income and middle-income countries: a systematic review and meta-analysis;Ng-Kamstra;BMJ Glob Health,2018

2. Global burden of postoperative death;Nepogodiev;The Lancet,2019

3. Mortality of pediatric surgical conditions in low and middle income countries in Africa;Livingston;J Pediatr Surg,2015

4. Paediatric surgical outcomes in sub-Saharan Africa: a multicentre, international, prospective cohort study;BMJ Glob Health,2021

5. MySurgeryRisk: Development and Validation of a Machine-learning Risk Algorithm for Major Complications and Death After Surgery;Bihorac;Ann Surg,2019

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