This study aims to explore the possibilities of statistical analysis and machine learning methods in the diagnosis of heart disease. Within the study, a dataset on almost three hundred patients (laboratory measurements, anamnesis, diagnosis) was analyzed and a functional relationship between these data and the diagnosis was found.
Here the html-version of the study.
Plane, unstructured version of the study is in the file diagnostics-of-heart-disease.ipynb. Before you run it, make sure that all the requirements of the requirements.txt file are satisfied on your platform.