Journal article

Machine-Learning Algorithms Predict Graft Failure After Liver Transplantation

Lawrence Lau, Yamuna Kankanige, Benjamin Rubinstein, Robert Jones, Christopher Christophi, Vijayaragavan Muralidharan, James Bailey

Transplantation | LIPPINCOTT WILLIAMS & WILKINS | Published : 2017

DOI: 10.1097/TP.0000000000001600

Grants

Funding Acknowledgements

The authors were supported in part by the Royal Australasian College of Surgeons Surgeon Scientist Research Scholarship, the Avant Doctor in Training Research Scholarship and the Australian Postgraduate Award.

Citation metrics

14Web of Science
16Scopus

Keywords

Middle Aged
Adult
Classification
Liver Transplantation
Life Sciences & Biomedicine
Transplantation
Of-The-Art
Decision Support Techniques
Male
Victoria
Risk Assessment
Surgery
Time Factors
Young Adult
Adolescent
Machine Learning
Risk Factors
Algorithms
Graft Survival
D-Meld
Aged
Immunology
Patient Survival
Artificial Neural-Networks
Tissue Donors
Donor Risk Index
Reproducibility of Results
Science & Technology
Missing Data
Predictive Value of Tests
Humans
Patient Selection
Model
Random Forests
Treatment Failure
Databases, Factual
Donor Selection
Variable Importance Measure
Female
Roc Curve
Area Under Curve