Developing the Total Health Profile, a Generalizable Unified Set of Multimorbidity Risk Scores Derived From Machine Learning for Broad Patient Populations: Retrospective Cohort Study.

Journal: Journal of medical Internet research
PMID:

Abstract

BACKGROUND: Multimorbidity clinical risk scores allow clinicians to quickly assess their patients' health for decision making, often for recommendation to care management programs. However, these scores are limited by several issues: existing multimorbidity scores (1) are generally limited to one data group (eg, diagnoses, labs) and may be missing vital information, (2) are usually limited to specific demographic groups (eg, age), and (3) do not formally provide any granularity in the form of more nuanced multimorbidity risk scores to direct clinician attention.

Authors

  • Abhishaike Mahajan
    Anthem Inc, Palo Alto, CA, United States.
  • Andrew Deonarine
    XY Health, Cambridge, MA, United States.
  • Axel Bernal
    Anthem Inc, Palo Alto, CA, United States.
  • Genevieve Lyons
    XY Health, Cambridge, MA, United States.
  • Beau Norgeot
    Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA, USA.