Using Artificial Intelligence to Detect Heart Disease: Analysis of Grid Search to Increase Accuracy and Deploying Custom Models Online


Authors : Akshat Kishore

Volume/Issue : Volume 8 - 2023, Issue 2 - February

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3kei5xy

DOI : https://doi.org/10.5281/zenodo.7659288

In this paper, I discuss a method for detecting cardiac illness utilising artificial intelligence and machine learning algorithms, and making these systems publicly available. We demonstrate how artificial intelligence may be used to forecast if someone would get cardiac disease. A python-based application is created for healthcare research in this study since it is more dependable and aids in tracking and establishing various kinds of health monitoring apps. We demonstrate categorical variable manipulation and the conversion of categorical columns in data processing. We tested a range of machine learning models to achieve the goal of the research and compared the accuracy of each of these models to find the most accurate. We outline the key stages of application development, including the gathering of databases, applying logistic regression, parameter tuning, assessing the features of the dataset, deploying the model and connecting it to the front-end using APIs.

Keywords : Artificial Intelligence, Machine Learning, Healthcare, AI in Healthcare

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29 - February - 2024

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