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

23Web of Science
24Scopus

Keywords

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