Predictive Analytics for Cardiovascular Health Using AI
Year: 2026
Type: article
Abstract: Cardiovascular disease remains a major contributor to mortality rates across the world and needs early and accurate diagnosis to be controlled successfully. The Proposed study makes use of machine learning algorithms to analyze patient data and perform Predictive analytics on cardiovascular diseases. The critical parameters related to cardiovascular diseases are identified to improve predictive models and ease of understanding. The predictive model developed with public available data achieves a high level of precision and has potential as a accurate and non- inexpensive diagnostic model. Adoption of AI technology may help in improved patient treatment and outcomes.
Authors: Sahana T S, Zaiba, Sahana A, Likitha C T
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7129012174
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