Machine learning models of healthcare expenditures predicting mortality: A cohort study of spousal bereaved Danish individuals.

Temporal patterns of medical spending have the potential to significantly improve our assessment on who is at high risk of dying after suffering spousal loss. The proposed methodology can assist in a more efficient risk profiling and prognosis of bereaved individuals.