تقرير
Insuring Smiles: Predicting routine dental coverage using Spark ML
| العنوان: | Insuring Smiles: Predicting routine dental coverage using Spark ML |
|---|---|
| المؤلفون: | Gupta, Aishwarya, Bhogale, Rahul S., Thota, Priyanka, Dathuri, Prathushkumar, Woo, Jongwook |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing |
| الوصف: | Finding suitable health insurance coverage can be challenging for individuals and small enterprises in the USA. The Health Insurance Exchange Public Use Files (Exchange PUFs) dataset provided by CMS offers valuable information on health and dental policies [1]. In this paper, we leverage machine learning algorithms to predict if a health insurance plan covers routine dental services for adults. By analyzing plan type, region, deductibles, out-of-pocket maximums, and copayments, we employ Logistic Regression, Decision Tree, Random Forest, Gradient Boost, Factorization Model and Support Vector Machine algorithms. Our goal is to provide a clinical strategy for individuals and families to select the most suitable insurance plan based on income and expenses. Comment: 4 pages, 13 figures, 5 tables |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2310.09229 |
| رقم الأكسشن: | edsarx.2310.09229 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |