An integrated molecular diagnostic report for heart transplant biopsies using an ensemble of diagnostic algorithms.
Journal:
The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation
Published Date:
Jun 1, 2019
Abstract
BACKGROUND: We previously reported a microarray-based diagnostic system for heart transplant endomyocardial biopsies (EMBs), using either 3-archetype (3AA) or 4-archetype (4AA) unsupervised algorithms to estimate rejection. In the present study we examined the stability of machine-learning algorithms in new biopsies, compared 3AA vs 4AA algorithms, assessed supervised binary classifiers trained on histologic or molecular diagnoses, created a report combining many scores into an ensemble of estimates, and examined possible automated sign-outs.