Machine Learning (ML) in Dava(Medicine)

📌 Introduction:-

The repository contains various python jupyter notebooks of predicting different medical diseases from various open source datasets.The following medical diseases predicted are cancer,,diabeties,kidney diseases,heart disease,liver diseases,spine using variou machine learning classification algorithms like KNN,Logistic Regression,Support Vector Machine,Decision Tree,Random Forest

✔✔ Accuracy ✔✔:-

Disease Name	Logistic Regression	K Nearest Neighbors	Support Vector Machine	Decision Tree	Random Forest
Cancer	99.12%	96.49%	94.73%	92.10%	97.36%
Diabeties	76.62%	72.07%	78.57%	75.97%	74.02%
Kidney	97.50%	72.50%	96.25%	98.75%	100.0%
Heart	85.24%	73.77%	86.88%	85.24%	86.88%
Liver	78.16%	66.09%	74.71%	74.71%	74.71%
Spine	83.87%	87.09%	85.48%	83.87%	83.87%

🏁 Datasets Used:-

1. Cancer Dataset

Heat Map of The dataset is

2. Pima Indians Diabeties Dataset

Heat Map of The dataset is

3. Heart Disease UCI

Heat Map of The dataset is

4. Chronic Kidney Disease Dataset

Heat Map of The dataset is

5. Indian Liver Patient Records

Heat Map of The dataset is

5. Lower back Spine Pain

Heat Map of The dataset is

📧Contact:-

For any kind of suggesstions/ help in models code Please mail me at [email protected].

📜 LICENSE

MIT