Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26139, first published .
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

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

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

Richard John Woodman   1 , BSc, MMedSci, MBiostat, PhD ;   Kimberley Bryant   1 , BSc, PhD ;   Michael J Sorich   1 , BSc, PhD ;   Alberto Pilotto   2, 3 , MD ;   Arduino Aleksander Mangoni   1 , MD, PhD

1 College of Medicine and Public Health, Flinders University, Adelaide, Australia

2 Department of Geriatric Care, OrthoGeriatrics and Rehabilitation, Galliera Hospital, Genoa, Italy

3 Department of Interdisciplinary Medicine, University of Bari, Bari, Italy

Corresponding Author:

  • Richard John Woodman, BSc, MMedSci, MBiostat, PhD
  • College of Medicine and Public Health
  • Flinders University
  • Room 3,12 Health Sciences Building
  • Sturt Road, Bedford Park
  • Adelaide, 5042
  • Australia
  • Phone: 61 0872218537
  • Email: richard.woodman@flinders.edu.au