Building analytical models for predicting de novo malignancy in pancreas transplant patients: A machine learning approach

Author:

Zadeh AmirORCID,Broach Christopher,Nosoudi Nasim,Weaver Baylee,Conrad Joshua,Duffy Kevin

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference76 articles.

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4. An explanatory analytics model for identifying factors indicative of long-versus short-term survival after lung transplantation;Amini;Decision Analytics Journal,2022

5. Validation of artificial neural networks as a methodology for donor-recipient matching for liver transplantation;Ayllón;Liver Transplantation,2018

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