Predicting ideal outcome after pediatric liver transplantation: An exploratory study using machine learning analyses to leverage Studies of Pediatric Liver Transplantation Data
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Title
Predicting ideal outcome after pediatric liver transplantation: An exploratory study using machine learning analyses to leverage Studies of Pediatric Liver Transplantation Data
Authors
Keywords
-
Journal
PEDIATRIC TRANSPLANTATION
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2019-07-22
DOI
10.1111/petr.13554
References
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Related references
Note: Only part of the references are listed.- OPTN/SRTR 2016 Annual Data Report: Liver
- (2018) W. R. Kim et al. AMERICAN JOURNAL OF TRANSPLANTATION
- Tolerance after liver transplantation: Where are we?
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- Precision Public Health for the Era of Precision Medicine
- (2016) Muin J. Khoury et al. AMERICAN JOURNAL OF PREVENTIVE MEDICINE
- Nonstandard Exception Requests Impact Outcomes for Pediatric Liver Transplant Candidates
- (2016) H. J. Braun et al. AMERICAN JOURNAL OF TRANSPLANTATION
- The Trouble With Exceptional Exceptions
- (2016) E. K. Hsu et al. AMERICAN JOURNAL OF TRANSPLANTATION
- Heterogeneity and Disparities in the Use of Exception Scores in Pediatric Liver Allocation
- (2015) E. K. Hsu et al. AMERICAN JOURNAL OF TRANSPLANTATION
- Public Health in the Precision-Medicine Era
- (2015) Ronald Bayer et al. NEW ENGLAND JOURNAL OF MEDICINE
- A New Initiative on Precision Medicine
- (2015) Francis S. Collins et al. NEW ENGLAND JOURNAL OF MEDICINE
- The International Heart Transplant Survival Algorithm (IHTSA): A New Model to Improve Organ Sharing and Survival
- (2015) Johan Nilsson et al. PLoS One
- Significant Racial Differences in the Key Factors Associated with Early Graft Loss in Kidney Transplant Recipients
- (2014) David J. Taber et al. AMERICAN JOURNAL OF NEPHROLOGY
- Bringing Big Data to Personalized Healthcare: A Patient-Centered Framework
- (2013) Nitesh V. Chawla et al. JOURNAL OF GENERAL INTERNAL MEDICINE
- Racial and socioeconomic disparities in pediatric and young adult liver transplant outcomes
- (2013) Rekha V. Thammana et al. LIVER TRANSPLANTATION
- A Multivariate Analysis of Pre-, Peri-, and Post-Transplant Factors Affecting Outcome After Pediatric Liver Transplantation
- (2011) Sue V. McDiarmid et al. ANNALS OF SURGERY
- Application of the Intelligent Techniques in Transplantation Databases: A Review of Articles Published in 2009 and 2010
- (2011) F.S. Sousa et al. TRANSPLANTATION PROCEEDINGS
- SAFETY Study: Alanine Aminotransferase Cutoff Values Are Set Too High for Reliable Detection of Pediatric Chronic Liver Disease
- (2010) Jeffrey B. Schwimmer et al. GASTROENTEROLOGY
- What Is Value in Health Care?
- (2010) Michael E. Porter NEW ENGLAND JOURNAL OF MEDICINE
- Conditional Variable Importance for Random Forests
- (2008) Carolin Strobl et al. BMC BIOINFORMATICS
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