肺移植
人工智能
计算机科学
机器学习
移植
医学
内科学
作者
Zachary Brennan,Jad Malas,Joanna Chikwe,Dominic Emerson,Michael E. Bowdish,P. Catarino,D. Megna
标识
DOI:10.1016/j.healun.2024.02.264
摘要
Purpose: Machine Learning (ML) is an established technique for modelling associations in data and shows promise for creating predictive tools in medicine. More accurate prediction in lung transplantation would allow for better selection strategies for both recipients and donors.
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