This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1915) Machine Learning (2076) Decision Support for Health Professionals (1539) Artificial Intelligence (2129)

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

Authors of this article:

Richard John Woodman1 Author Orcid Image ;   Kimberley Bryant1 Author Orcid Image ;   Michael J Sorich1 Author Orcid Image ;   Alberto Pilotto2, 3 Author Orcid Image ;   Arduino Aleksander Mangoni1 Author Orcid Image
Article Authors Cited by (21) Tweetations (2) Metrics

Journals

  1. Xu Z, Guo K, Chu W, Lou J, Chen C. Performance of Machine Learning Algorithms for Predicting Adverse Outcomes in Community-Acquired Pneumonia. Frontiers in Bioengineering and Biotechnology 2022;10 View
  2. Zampino M, Polidori M, Ferrucci L, O’Neill D, Pilotto A, Gogol M, Rubenstein L. Biomarkers of aging in real life: three questions on aging and the comprehensive geriatric assessment. GeroScience 2022;44(6):2611 View
  3. Cai W, Xu J, Chen Y, Wu X, Zeng Y, Yu F. Performance of Machine Learning Algorithms for Predicting Disease Activity in Inflammatory Bowel Disease. Inflammation 2023;46(4):1561 View
  4. Woodman R, Mangoni A. A comprehensive review of machine learning algorithms and their application in geriatric medicine: present and future. Aging Clinical and Experimental Research 2023;35(11):2363 View
  5. Loutati R, Ben-Yehuda A, Rosenberg S, Rottenberg Y. Multimodal Machine Learning for Prediction of 30-Day Readmission Risk in Elderly Population. The American Journal of Medicine 2024;137(7):617 View
  6. Chen Y, Lin F, Wang K, Chen F, Wang R, Lai M, Chen C, Wang R. Development of a predictive model for 1-year postoperative recovery in patients with lumbar disk herniation based on deep learning and machine learning. Frontiers in Neurology 2024;15 View
  7. Gebreyohannes E, Taye W, Shibe B, Ayele E, Lee K, Mengistu S, Soiza R, Myint P, Abdela O. Anticholinergic burden among in-patients: a cross-sectional study on prevalence, determinants, and impact on mortality in Ethiopia. Therapeutic Advances in Drug Safety 2024;15 View
  8. Wang X, Sun J, Zhang X, Chen W, Cao J, Hu H. Metagenomics reveals unique gut mycobiome biomarkers in psoriasis. Skin Research and Technology 2024;30(7) View
  9. Cai W, Wu X, Chen Y, Chen J, Lin X. Risk Factors and Prediction of 28-Day-All Cause Mortality Among Critically Ill Patients with Acute Pancreatitis Using Machine Learning Techniques: A Retrospective Analysis of Multi-Institutions. Journal of Inflammation Research 2024;Volume 17:4611 View
  10. Liu J, Duan X, Duan M, Jiang Y, Mao W, Wang L, Liu G. Development and external validation of an interpretable machine learning model for the prediction of intubation in the intensive care unit. Scientific Reports 2024;14(1) View
  11. Gortan Cappellari G, Calcagnile M, Pennisi R, Castiglia G, Concollato E, Sanson G, Barazzoni R, De Colle P, Zanetti M. A simplified multidimensional scale approach is effective in predicting mortality in hospitalized older adults and highlights the role of nutrition. Clinical Nutrition 2025;45:1 View
  12. Woodman R, Bryant K, Sorich M, Thompson C, Russell P, Pilotto A, Mangoni A. Phenotyping to predict 12-month health outcomes of older general medicine patients. Aging Clinical and Experimental Research 2025;37(1) View
  13. Li J, Kang L, Liu X, Sun X, Zhu M, Wang Q, Qu X, zhang N, Xia E, Lu F, Liu S, Jin S, Wang X, Yao G. Development of a multidimensional 1-year mortality prediction model for patients discharged from the geriatric department: a longitudinal cohort study based on comprehensive geriatric assessment and clinical data. BMC Geriatrics 2025;25(1) View
  14. Ng H, Woodman R, Veronese N, Pilotto A, Mangoni A. Multidimensional prognostic index domain phenotypes identified using latent class analysis and mortality in the European Study of Older Subjects With Atrial Fibrillation (EUROSAF). Heart Rhythm 2025 View
  15. Gu K, Liu Y. Utilizing machine learning models for predicting outcomes in acute pancreatitis: development and validation in three retrospective cohorts. BMC Medical Informatics and Decision Making 2025;25(1) View
  16. Lin F, Lee C, Chien T. Applying Smart Healthcare and ESG Concepts to Optimize Elderly Health Management. Sustainability 2025;17(13):6091 View
  17. Zhou X, Duan D, Zhang M, Liu S, Lv J, Wang Y, Chen L, Zhang Y, Gu B, Chen Q. Development and Validation of a Machine Learning‐Based Risk Prediction Model for Delirium in Older Inpatients: A Prospective Cohort Study. Journal of Advanced Nursing 2025 View
  18. Mangio A, Miller C, Jayan L, Ben-Dekhil S, Dao-Tran T, Dendere R. Machine learning in geriatric care: a scoping review of models using multidimensional assessment data. International Journal of Medical Informatics 2026;207:106181 View

Books/Policy Documents

  1. Cella A, Barbagelata M, Pilotto A. Gerontechnology. A Clinical Perspective. View
  2. Woodman R, Mangoni A. Gerontechnology. A Clinical Perspective. View
  3. Pilotto A, Volta E, Barbagelata M, Custodero C. Gerontechnology. A Clinical Perspective. View