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Plotting
SPSS_export
Todo
_Report
__pycache__
img
original_data
processed_data
processed_data2(no_missing_value)
processed_data3(feature_scaled)
processed_data4(nominal)
processed_data5(randomize)
test_verification
1_handle_missing_value.py
2_make_presence_to_absence_data.py
3_feature_scaling.py
4_scale_to_nominal.py
README.md
algorithm_decision_tree.py
algorithm_naive_bayse.py
algorithm_support_vector_machines.py
all_algorithm_decision_tree.py
all_algorithm_naive_bayse.py
all_algorithm_support_vector_machines.py
classify.py
cleveland.py
create_list.py
make_train_test_set.py
make_train_test_verification_set.py
randomize_dataset.py

README.md

Diagnostic Aid for Heart Disease Using Data

Seed Project for Medical Platform

Algorithms Comparison

  • Best algorithm to predict hearth disease: SVM

Discovery

  • Algorithms with best accuracy
Algorithm Data Type Scale Accuracy
SVM (kernel = rbf) Feature Scaled Data 0, 1 82 %
SVM (kernel = linear) Nominal Data 0, 1, 2, 3, 4 77 %

Expectation

  • Predicted heart disease using 13 features

  • Apply similar logic to other disease

  • If these algorithms are applied to all disease, computer can diagnose probability of each disease with given features.

  • Doctors will make better diagnosis with help of these algorithms applied to medical data.

In the Future

  • GitHub organization: MedicalDataAnalysis

  • repository: Heart_Disease-Wisconsin-

  • Plan to make repositories for other disease whenever we get the data

  • Build medical platform using models we created

Learn More

  • The report of this project is in _Report folder.

  • If you want to contribute to this repository, feel free to contact us!