Understanding personalized dynamics to inform precision medicine: a dynamic time warp analysis of 255 depressed inpatients.

ABSTRACT:

Background

Major depressive disorder (MDD) shows large heterogeneity of symptoms between patients, but within patients, particular symptom clusters may show similar trajectories. While symptom clusters and networks have mostly been studied using cross-sectional designs, temporal dynamics of symptoms within patients may yield information that facilitates personalized medicine. Here, we aim to cluster depressive symptom dynamics through dynamic time warping (DTW) analysis.

Methods

The 17-item Hamilton Rating Scale for Depression (HRSD-17) was administered every 2 weeks for a median of 11 weeks in 255 depressed inpatients. The DTW analysis modeled the temporal dynamics of each pair of individual HRSD-17 items within each patient (i.e., 69,360 calculated "DTW distances"). Subseq

SUBMITTER: Hebbrecht K 

PROVIDER: S-EPMC7756914 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature