Application of machine learning in predicting survival outcomes involving real-world data: a scoping review.
Journal:
BMC medical research methodology
Published Date:
Nov 13, 2023
Abstract
BACKGROUND: Despite the interest in machine learning (ML) algorithms for analyzing real-world data (RWD) in healthcare, the use of ML in predicting time-to-event data, a common scenario in clinical practice, is less explored. ML models are capable of algorithmically learning from large, complex datasets and can offer advantages in predicting time-to-event data. We reviewed the recent applications of ML for survival analysis using RWD in healthcare.