Use of Multiprognostic Index Domain Scores, Clinical Data, and Machine Learning to Improve 12-Month Mortality Risk Prediction in Older Hospitalized Patients: Prospective Cohort Study

• Автори: Richard John Woodman (Автор), Kimberley Bryant (Автор), Michael J Sorich (Автор), Alberto Pilotto (Автор), Arduino Aleksander Mangoni (Автор)
• Формат: Книга
• Опубліковано: JMIR Publications, 2021-06-01T00:00:00Z.
• Предмети: article
• Онлайн доступ: Connect to this object online.

BackgroundThe Multidimensional Prognostic Index (MPI) is an aggregate, comprehensive, geriatric assessment scoring system derived from eight domains that predict adverse outcomes, including 12-month mortality. However, the prediction accuracy of using the three MPI categories (mild, moderate, and se...