Development and validation of a machine learning algorithm predicting emergency department use and unplanned hospitalization in patients with head and neck …
Importance Patient-reported symptom burden was recently found to be associated with
emergency department use and unplanned hospitalization (ED/Hosp) in patients with head
and neck cancer. It was hypothesized that symptom scores could be combined with
administrative health data to accurately risk stratify patients. Objective To develop and
validate a machine learning approach to predict future ED/Hosp in patients with head and
neck cancer. Design, Setting, and Participants This was a population-based predictive …
emergency department use and unplanned hospitalization (ED/Hosp) in patients with head
and neck cancer. It was hypothesized that symptom scores could be combined with
administrative health data to accurately risk stratify patients. Objective To develop and
validate a machine learning approach to predict future ED/Hosp in patients with head and
neck cancer. Design, Setting, and Participants This was a population-based predictive …
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