Understanding the Relationship Between Comorbidities, Medication Nonadherence, Activities of Daily Living, and Heart Condition Status Among Older Adults in the United States: A Regression Analysis and Machine Learning Approach
Blending traditional statistics with machine learning in this study reveals significant implications for crafting personalized interventions to improve patients' depression, leading to increased activities of daily living, medication adherence, reduced severity of comorbidities, and ultimately better management of heart conditions.
Authors
- Carolyn H. Still (ORCID: https://orcid.org/0000-0002-7106-9246)
- Witchuda Thongking (ORCID: https://orcid.org/0000-0002-6948-6673)
- Chantira Chiaranai (ORCID: https://orcid.org/0000-0002-7566-6160)
- Suebsarn Ruksakulpiwat (ORCID: https://orcid.org/0000-0003-2168-5195)
- Heba Aldossary (ORCID: https://orcid.org/0000-0001-8842-6169)
- Chitchanok Benjasirisan (ORCID: https://orcid.org/0000-0001-6465-0721)
- Atsadaporn Niyomyart (ORCID: https://orcid.org/0000-0002-5460-2934)
- Christine G. Smothers (ORCID: https://orcid.org/0000-0002-8269-2375)
- Naveen Kannan
- Ellis Wright
Institutions
- Apple (Israel) (IL)
- Mahidol University (TH)
- Ramathibodi Hospital (TH)
- Court of Appeal (TH)
- Case Western Reserve University (US)
- King Mongkut's University of Technology Thonburi (TH)
Publication Details
- Journal
- The Journal of Cardiovascular Nursing
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1097/jcn.0000000000001150
- Citations
- 3
- Primary Topic
- Blood Pressure and Hypertension Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.21