Predicting Heart Diseases with Machine Learning
Use case in Healthcare Intelligence
The objective of this usecase is to predict the major risk factors that may result in the development of heart diseases in the future by using machine learning algorithms.
Heart diseases are one of the main causes of death worldwide. Many factors like age, family history, high BP, high cholesterol levels, unhealthy lifestyles, lack of physical activity, etc can be attributed to the increasing cases of cardiovascular diseases. While some of these factors can be controlled, some others like age, hereditary, etc cannot be controlled by individuals.
These factors are not constant among the individuals and keep varying. We performed exploratory data analysis on the dataset and applied various machine learning models of regression and classification to analyze and evaluate the parameters that affect the most and lead to heart disease.
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About Qualetics Data Machines
Data Analytics and Artificial Intelligence is growing to be an ubiquitous need in the modern enterprise ecosystem. The need for Analytics is ranging from basic Descriptive and Diagnostic Analytics to advanced Predictive, Prescriptive and Cognitive Analytics. However, the barrier of entry is high due to expensive infrastructure and highly skilled resource requirements.
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