• Sachin Singh
• S N Rajan
• Manish Kumar
• Amit Kumar
• Renu Bahuguna

The primary goal is to give the customer guidance on maintaining their health system and advice on how to utilize this prediction to identify their disease. Informed users can support the healthcare business, which is crucial in today's world where patients' illnesses are often treated, and users can benefit from this information in the event that they choose not to visit the hospital. Coronary heart disease is the primary cause of heart attacks. In an effort to prevent heart attacks, the NHLBI-funded International Study of Comparative Health Effectiveness with Medical and Invasive Approaches (ISCHEMIA) trial external link evaluated different coronary heart disease treatments. According to the trial, medication and healthy lifestyle choices can lower the risk of a heart attack just as well as major surgeries in those with severe coronary heart disease. Physicians will be better able to choose the best course of action for patients who are at risk of having a heart attack according to the findings of this study. .

Coronary, NHLBI, CNN, Machine Learning

"Heart Diseases Prediction using Machine Learning Techniques and Preventive Measures To Overcome From Heart Attacks Problems In Present Era ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.b738-b744, March-2024, Available :http://www.jetir.org/papers/JETIR2403186.pdf

"Heart Diseases Prediction using Machine Learning Techniques and Preventive Measures To Overcome From Heart Attacks Problems In Present Era ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppb738-b744, March-2024, Available at : http://www.jetir.org/papers/JETIR2403186.pdf