Prediction of primary Hypertension in Primary Health Care Settings in Coastal Karnataka Using Artificial Neural Network
The ANN model demonstrated reasonably accurate predictions despite the lower overall fit. It has shown the potential to be used as a primary healthcare tool by helping physicians predict and warn about the dangers of elevated blood pressure to patients. These algorithms, deployed using a web application, will enable people to evaluate themselves in the comfort of their homes. This would make us inch closer to the WHO's broader goal of making health a universal right, irrespective of a person's place of residence.
Authors
- Mohammed Jabeer (ORCID: https://orcid.org/0009-0003-5553-9564)
- Sudhir Prabhu (ORCID: https://orcid.org/0000-0002-4562-543X)
- S. Ruban
- Achal Shetty (ORCID: https://orcid.org/0000-0001-7225-6062)
- D. Deepak
- N E Shalya
Institutions
- National Institute of Technology Karnataka (IN)
- Father Muller Medical College Hospital (IN)
- Father Muller Homoeopathic Medical College (IN)
Publication Details
- Journal
- Current Hypertension Reviews
- Published
- 2025-02-28
- DOI
- https://doi.org/10.2174/0115734021329874250222053144
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00