Samiuddin, Md. and Rajender, G. and Varma, K. Sai Abhiram and Kumar, A. Ravi and Shaik, Subhani (2023) Health Insurance Cost Prediction Using Deep Neural Network. Asian Journal of Research in Computer Science, 16 (2). pp. 46-53. ISSN 2581-8260
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Abstract
Artificial intelligence (AI) and Deep Learning (DL) are strategies for making human being’s lives simpler in the healthcare enterprise through predicting and identifying ailments more fast than the general public of scientific specialists. There may be an immediate connection between the insurance organization and the policyholder while technology reduces the distance between them to zero in particular with digital medical insurance. In preference to commonplace protection, simulated intelligence and profound mastering have meaningfully impacted the way in which guarantors build health care coverage designs and empowered customers to hastily get benefits greater. With a view to provide clients with accurate, spark off, and effective medical health insurance, insurance companies use DL. Medical health insurance quotes have been expected the use of an artificial neural network (ANN) and a deep neural network (DNN) algorithm on this take a look at. Based on the traits of the individuals, the author envisioned how a good deal medical insurance might price. Age, gender, body mass index, the range of kids, smoking behavior, and place had been all used to train and examine an artificial neural network model.
Item Type: | Article |
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Subjects: | East India library > Computer Science |
Depositing User: | Unnamed user with email support@eastindialibrary.com |
Date Deposited: | 14 Jun 2023 05:38 |
Last Modified: | 28 May 2024 05:52 |
URI: | http://info.paperdigitallibrary.com/id/eprint/1385 |