Naïve Bayes-Based Analysis for Predicting Heart Disease
A essential a part of human physiology, the coronary heart's most appropriate operation is vital to preserve life. Abnormal coronary heart interest can have an effect on the kidneys, mind, and different components of the human body. Heart disorder is any circumstance that impacts the coronary heart's potential to beat. Heart disorder is any circumstance that impacts the coronary heart's potential to beat. Numerous elements can boost the chance of coronary heart disorder. Right now, coronary heart disorder is the world's main reason of death. The World Health Organization (WHO) estimates that coronary heart disorder claims the lives of 12 million human beings yearly worldwide. Forecasting with facts mining tactics can yield correct illness outcomes. IHDPS can hit upon hidden facts at the coronary heart disorder problems from the databases of the coronary heart disorder history, and affords latest answers to investigate cardiac illnesses aside from conventional choice aid structures to resource analysts and carriers in taking a extra smart and knowledgeable medical choice. Different styles of coronary heart infection consist of coronary heart attacks, coronary coronary heart disorder, strokes, and different cardiovascular conditions. High blood stress or the hardness, constriction, or blockage of the blood vessels imparting the mind can reason a stroke, that's labeled below coronary heart disorder. A chance-factor-primarily based totally method that warns sufferers and clinical experts approximately the capability for coronary heart disorder earlier than they should pay for luxurious trying out or health center remains might be beneficial. Consequently, this approach affords a way of predicting coronary heart disorder. Among those techniques is the incredibly powerful facts mining device referred to as the Naïve Bayesian algorithm.
Authors
- Hari Viswanathan (ORCID: https://orcid.org/0000-0002-1178-9647)
- V. Sadasivam
- Eniyavanan Anbukarasu
- Gopalakrishna Kadhirvelu
Institutions
- National Institute of Technology Tiruchirappalli (IN)
Publication Details
- Published
- 2025-04-04
- DOI
- https://doi.org/10.1109/iccsai64074.2025.11064572
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00