A Comparative Analysis of Optimizing Medical Insurance Prediction Using Genetic Algorithm and Other Machine Learning Algorithms

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Chittilappilly:2023:ACCAI,

• author = "Rose Mary Chittilappilly and Sanjana Suresh and Shanthini Shanmugam",
• booktitle = "2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)",
• title = "A Comparative Analysis of Optimizing Medical Insurance Prediction Using Genetic Algorithm and Other Machine Learning Algorithms",
• year = "2023",
• month = may,
• keywords = "genetic algorithms, genetic programming, TPOT, Machine learning algorithms, Metaheuristics, Linear regression, Insurance, Manuals, Predictive models, Prediction algorithms, machine learning, medical insurance, random forest, gradient boosting, LassoLarsCV, Linear Regression, Metaheuristic Algorithm",
• DOI = "doi:10.1109/ACCAI58221.2023.10199979",
• abstract = "an analysis is conducted on different machine learning strategies to predict medical insurance charges using demographic and health-related information on individuals. Each algorithm was trained and tested on a preprocessed dataset, and the performance of various models is compared, including linear regression, random forest, gradient boosting, LassoLarsCV, and a model created with automated machine learning using TPOT, which makes use of genetic programming for optimisation. Conclusively, the results bring to light that the TPOT-generated model, which is a combination of LassoLarsCV and GradientBoostingRegressor, performed better than the other models, attaining a root mean square error of 0.0686 and an accuracy of 87.45percent on the test set. These findings suggest that automated machine learning techniques and metaheuristic optimisation, as was used in TPOT, can bring improvement to the performance of existing medical insurance cost prediction models.",
• notes = "Also known as \cite{10199979}",

}

Genetic Programming entries for Rose Mary Chittilappilly Sanjana Suresh Shanthini Shanmugam

Citations