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

• Päätekijät: Richard John Woodman (Tekijä), Kimberley Bryant (Tekijä), Michael J Sorich (Tekijä), Alberto Pilotto (Tekijä), Arduino Aleksander Mangoni (Tekijä)
• Aineistotyyppi: Kirja
• Julkaistu: JMIR Publications, 2021-06-01T00:00:00Z.
• Aiheet: article
• Linkit: 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...