Data-driven subgrouping of patient trajectories with chronic diseases: Evidence from low back pain

arXiv:2404.10580v1 Announce Type: cross
Abstract: Clinical data informs the personalization of health care with a potential for more effective disease management. In practice, this is achieved by subgrouping, whereby clusters with similar patient characteristics are identified and then receive customized treatment plans with the goal of targeting subgroup-specific disease dynamics. In this paper, we propose a novel mixture hidden Markov model for subgrouping patient trajectories from chronic diseases. Our model is probabilistic and carefully designed to capture different trajectory phases …

abstract arxiv back pain clinical cs.lg data data-driven disease diseases evidence health health care low management pain patient personalization practice stat.ap stat.me targeting treatment type