Predicting hospitalization of COVID-19 positive patients using clinician-guided machine learning methods.

ABSTRACT:

Objectives

The coronavirus disease 2019 (COVID-19) is a resource-intensive global pandemic. It is important for healthcare systems to identify high-risk COVID-19-positive patients who need timely health care. This study was conducted to predict the hospitalization of older adults who have tested positive for COVID-19.

Methods

We screened all patients with COVID test records from 11 Mass General Brigham hospitals to identify the study population. A total of 1495 patients with age 65 and above from the outpatient setting were included in the final cohort, among which 459 patients were hospitalized. We conducted a clinician-guided, 3-stage feature selection, and phenotyping process using iterative combinations of literature review, clinician expert opinion, and electronic healt

SUBMITTER: Song W 

PROVIDER: S-EPMC9129151 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature