Predicting the Heart Disease's using Machine Learning Techniques
DOI:
https://doi.org//10.32628/CSEIT195420Keywords:
Machine learning, Heart Disease, Healthcare Management, Prediction.Abstract
The research also explores ways to protect online identities of patients from disclosure or privacy concerns). We will address the situation of the patient like situation of heart problem that experience life-threatening emergencies. With adequate lead time, patients and doctors can avert serious emergencies from occurring. Since handling of serious emergencies is particularly expensive, the proposed technologies can potentially reduce the overall cost of healthcare delivery and management in rural populations. Implement solutions that assure confidentiality, security and integrity while maximizing the Availability of information for public health use and strategically integrate clinical health, environmental risk and population health informatics.
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