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Heart Attack Prediction

This project aims to predict the chances of a person getting a heart attack or not based on certain features like Age, Gender, Maximum Heart rate reached, cholestrol levels, blood sugar levels, etc.

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Heart Attack Prediction

This project aims to predict the chances of a person getting a heart attack or not based on certain features like Age, Gender, Maximum Heart rate reached, cholestrol levels, blood sugar levels, etc.

The problem Heart Attack Prediction solves

Our heart attack prediction project can have several practical applications in the field of healthcare. Here are some ways in which it can be useful:

  1. Early detection: Our project can help doctors identify patients at risk of having a heart attack early on. This can enable them to take preventative measures and provide early treatment, potentially saving lives.

  2. Personalized healthcare: Using our heart attack prediction project can help doctors provide personalized healthcare to their patients. By identifying patients who are at high risk of having a heart attack, doctors can tailor their treatment plans to meet the unique needs of each individual patient.

  3. Better resource allocation: Our project can help hospitals and healthcare providers to allocate resources more effectively. By identifying patients who are at high risk of having a heart attack, doctors can prioritize their care and ensure that they receive the appropriate level of attention and resources.

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