Machine learning models for 180-day mortality prediction of patients with advanced cancer using patient-reported symptom data.
Cai XuIshwaria M SubbiahSheng-Chieh LuAndré PfobChris Chris Sidey-GibbonsPublished in: Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation (2022)
Our findings support ML models driven by patient-reported symptom severity as accurate predictors of short-term mortality in patients with advanced cancer, highlighting the opportunity to integrate these models prospectively into future studies of goal-concordant care.