Insurance Cost Prediction Using Polynomial Ridge Regression and Random Forest Classifier

G. Rajeswari; J.V. Kowsalya; T.S. Navalakshmi; N.S Sakthi Aashitha; T.S Sakthi Jothi

Original Article

Insurance Cost Prediction Using Polynomial Ridge Regression and Random Forest Classifier

Paper ID 905
Volume 6, Issue 2
Pages 41-43
Published Online: March-April 2025
2 Views

Open Access Peer Reviewed

Authors

G. Rajeswari¹
J.V. Kowsalya²
T.S. Navalakshmi³
N.S Sakthi Aashitha⁴
T.S Sakthi Jothi⁵

¹Assistant Professor, Department of Computer Science and Engineering, K.L.N. College of Engineering, Sivagangai, Tamilnadu, India. ²³⁴⁵ Final Year Students, Department of Computer Science and Engineering, K.L.N. College of Engineering, Sivagangai, Tamilnadu, India.

View PDF Download PDF Cite this article

Article Information

DOI: No DOI
Published In: Volume 6, Issue 2 (2025)
Published Online: March-April 2025
Pages: 41-43
Article Type: Original Article
Check for updates: No DOI available for cross-reference

References

1. A. Ravishankar Rao, Subrata Gardaí, Coumarate Dey, Hang Peng, “Building predictive models of healthcare costs with open healthcare
data”,2020 IEEE International Conference on Healthcare Informatics (ICHI) | 978-1-7281-5382- 7/20/$31.00 ©2020 IEEE | DOI:
10.1109/ICHI48887.2020.9374348
2. Sheng Yao Zhou, Run tong Zhang*, “A Novel Method for Mining Abnormal Expenses in Social Medical Insurance” Auckland University of
Technology. Downloaded on November 07, 2020 at 17:01:50 UTC from IEEE Xplore.
3. Anuja Tike, Sanket Tavarageri,”A Medical Price Prediction System using Hierarchical Decision Trees”,2017 IEEE International Conference
on Big Data (BIGDATA )
4. Pei Shen, “Factor Analysis of Medical Expenses of the Hepatitis A patients in Guangdong”, 2016 8th International Conference on Information
Technology in Medicine and Education.

Insurance Cost Prediction Using Polynomial Ridge Regression and Random Forest Classifier

Article Information

References

Related Articles