Disease Prediction using Machine Learning
The disease diagnosis system operates by first collecting comprehensive datasets with symptoms and corresponding diseases. Subsequent data preprocessing addresses anomalies like missing values. Relevant features are then selected or extracted, aiding accurate diagnosis. The chosen machine learning algorithm, such as decision trees, undergoes training with preprocessed data. The model learns to correlate symptoms with diseases. Evaluation metrics assess its accuracy before deployment into a user-friendly interface. Users input symptoms, and the system predicts potential diseases, facilitating efficient and accessible medical diagnosis through symptom analysis.
Disease Prediction based on Symptoms using Machine Learning
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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