Prediction in claims databases for epidemiological research.
Prediction in claims databases for epidemiological research
Challenge
Machine learning and prediction modeling in healthcare claims databases face unique challenges—including right censoring, feature engineering for longitudinal data, and index date selection—that leave many applied researchers without practical guidance.
Solution
Target RWE researchers presented a framework for prediction in healthcare claims databases covering index date selection, longitudinal feature engineering strategies, model training with right-censored data, and the potential of deep learning for sequential healthcare event data.