Functional clustering methods for longitudinal data with application to electronic health records

• Published in: Statistical methods in medical research Vol. 30; no. 3; p. 655
• Main Authors: Zeldow, Bret, Flory, James, Stephens-Shields, Alisa, Raebel, Marsha, Roy, Jason A
• Format: Journal Article
• Language: English
• Published: England 01.03.2021
• Subjects: functional clustering; prediction; Bayesian nonparametrics; Dirichlet process; Outcome identification

We develop a method to estimate subject-level trajectory functions from longitudinal data. The approach can be used for patient phenotyping, feature extraction, or, as in our motivating example, outcome identification, which refers to the process of identifying disease status through patient laborat...