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Long-term care insurance purchase decisions of registered nurses: Deep learning versus logistic regression models

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  • Shi, Hon-Yi
  • Yeh, Shu-Chuan Jennifer
  • Chou, Hsueh-Chih
  • Wang, Wen Chun

Abstract

The purpose of this study was to use a deep learning model and a traditional statistical regression model to predict the long-term care insurance decisions of registered nurses.

Suggested Citation

  • Shi, Hon-Yi & Yeh, Shu-Chuan Jennifer & Chou, Hsueh-Chih & Wang, Wen Chun, 2023. "Long-term care insurance purchase decisions of registered nurses: Deep learning versus logistic regression models," Health Policy, Elsevier, vol. 129(C).
    • Handle: RePEc:eee:hepoli:v:129:y:2023:i:c:s0168851023000040
    DOI: 10.1016/j.healthpol.2023.104709
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    2. You-Shyang Chen & Ying-Hsun Hung & Yu-Sheng Lin, 2023. "A Study to Identify Long-Term Care Insurance Using Advanced Intelligent RST Hybrid Models with Two-Stage Performance Evaluation," Mathematics, MDPI, vol. 11(13), pages 1-34, July.

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