---
title: A Study of Machine Learning Techniques for Predictive Analysis of Health Insurance
url: https://www.ml-quant.com/papers/ssrn/4817382/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4817382
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4817382
featured: 2024-05-08
citations: 1
topic: Risk, Credit & Banking
---


# A Study of Machine Learning Techniques for Predictive Analysis of Health Insurance

The article discusses the use of machine learning in health insurance for anomaly detection and predictive modeling, emphasizing the effectiveness of decision tree regression and random forest regressor.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4817382
- Identifier: SSRN 4817382
- Released: 2024-05-04
- First featured: Quant Letter No. 48 (2024-05-08): https://www.ml-quant.com/issues/2024-05-08/
- Citations (Semantic Scholar): 1
- Published in: not yet
- Topic: Risk, Credit & Banking

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