Machine learning helps predict long-term mortality and graft failure in patients undergoing heart tr...
Machine learning helps predict long-term mortality and graft failure in patients undergoing heart transplant
About this item
Full title
Author / Creator
Publisher
Singapore: Springer Singapore
Journal title
Language
English
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Publication information
Publisher
Singapore: Springer Singapore
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Scope and Contents
Contents
Objective
We aimed to develop a risk prediction model using a machine learning to predict survival and graft failure (GF) 5 years after orthotopic heart transplant (OHT).
Methods
Using the International Society of Heart and Lung Transplant (ISHLT) registry data, we analyzed 15,236 patients who underwent OHT from January 2005 to December 20...
Alternative Titles
Full title
Machine learning helps predict long-term mortality and graft failure in patients undergoing heart transplant
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Record Identifier
TN_cdi_proquest_miscellaneous_2400545219
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2400545219
Other Identifiers
ISSN
1863-6705
E-ISSN
1863-6713
DOI
10.1007/s11748-020-01375-6
