Predicting ideal outcome after pediatric liver transplantation: An exploratory study using machine learning analyses to leverage Studies of Pediatric Liver Transplantation Data-Reference-Cited by-同舟云学术

Predicting ideal outcome after pediatric liver transplantation: An exploratory study using machine learning analyses to leverage Studies of Pediatric Liver Transplantation Data

Published:2019-07-22 Issue:7 Volume:23 Page:
ISSN:1397-3142
Container-title:Pediatric Transplantation
language:en
Short-container-title:Pediatr Transplant

Author:

Wadhwani Sharad Indur¹^ORCID,Hsu Evelyn K.²,Shaffer Michele L.³,Anand Ravinder⁴,Ng Vicky Lee⁵^ORCID,Bucuvalas John C.⁶

Affiliation:

1. Cincinnati Children's Hospital Medical Center Cincinnati Ohio

2. University of Washington School of Medicine, Seattle Children's Hospital Seattle Washington

3. University of Washington Seattle Washington

4. EMMES Corporation Rockville Maryland

5. Transplant and Regenerative Medicine Center Hospital for Sick Children, University of Toronto Toronto Ontario Canada

6. Icahn School of Medicine at Mount Sinai Kravis Children's Hospital New York New York

Funder

National Institute of Diabetes and Digestive and Kidney Diseases

Publisher

Wiley

Subject

Transplantation,Pediatrics, Perinatology, and Child Health

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/petr.13554

Reference28 articles.

1. OPTN/SRTR 2016 Annual Data Report: Liver

2. What Is Value in Health Care?

3. Tolerance after liver transplantation: Where are we?

4. Health Status of Children Alive 10 Years after Pediatric Liver Transplantation Performed in the US and Canada: Report of the Studies of Pediatric Liver Transplantation Experience

5. Chronic disease management: what will it take to improve care for chronic illness?;Wagner EH;Eff Clin Pract,1998

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