Heart Disease Prediction using Machine Learning | IEEE Projects for Computer Science 2024

Heart Disease Prediction using Machine Learning

Heart Disease Prediction Project developed using python programming language and tkinter library is used for designing graphical user interface. Machine Learning Model is trained on dataset of CSV file, it contain multiple rows with different identity. In this project we first trained the model and that particular model is used in project. It contains training code from which model got trained and user have to write testing code to test on that particular dataset. This machine learning model works with 3 algorithm that is Decision Tree, Random Forest, Naive Bayes they provides model accuracy and prediction of heart disease with three different algorithm.

Dataset Tuples:- Age, X60 sec pulse, Body Mass Index, Red Blood Cells, Hemoglobin, Glycohemoglobin, Systolic, Diastolic, Blood-rel stroke, Diabetes, WBC.

Heart Disease Prediction System using Python

This is our Heart Disease Predictor made with Python. It’s like a smart tool that guesses if someone might get heart problems. It looks at stuff like Hemoglobin, Systolic, and how someone lives. Then, using special math tricks in Python, it makes guesses. Doctors can use it to find out if someone needs help with their heart early. It’s easy to use and helps keep people healthy by catching problems sooner.

Advantages of using Heart Disease Prediction using Artificial Intelligence System:-

  1. Finds Problems Early: It can catch heart issues before they become serious.
  2. Gets It Right: The system is smart because it looks at many things at once to guess about heart health.
  3. Saves Time: Doctors don’t need to spend a lot of time figuring out things because the system does it faster for them.
  4. Treats You Personally:It gives advice based on your own health, so it’s like having a plan just for you.
  5. Saves Money: It stops big problems before they happen, which can save money on treatment later.
  6. Easy to Use: Anyone can use it, even from home sometimes.
  7. Checks on You:It keeps an eye on your health all the time, so you can stay on top of things.
  8. Helps Scientists Learn More: It gives scientists new information to help them find better ways to keep hearts healthy.

Software Requirements :-

  • Coding Language : Python
  • Implementation: Software Framework.
  • Operating system : Windows 10 / 11.
  • Graphical User Interface : Tkinter

Hardware Requirement:-

  • Input Devices : Keyboard, Mouse.
  • System : Pentium i3 Processor.
  • Hard Disk : 500 GB.
  • RAM : 4 GB.

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