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.
Featured in No. 48 on 8 May 2024 · 4 days after release · 1 citation today
- Released
- 4 May 2024
- First featured
- No. 48 · 8 May 2024
- Citations (Semantic Scholar)
- 1
- Influential citations
- 0
- Published in
- Not yet, as far as Semantic Scholar knows
- Shares when featured
- 2
- Identifier
- SSRN 4817382
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