MEDICAL COST PREDICTION USING BACKPROPAGATION ALGORITHM

Jatikusuma, Surya (2019) MEDICAL COST PREDICTION USING BACKPROPAGATION ALGORITHM. Other thesis, UNIKA SOEGIJAPRANATA SEMARANG.

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Abstract

Insurance company have so much of people registered in their insurance program. Insurance company need to know how much they can give to someone for the claim they have submitted. But, health condition differ from one to another, this made determining how much someone medical cost will be is not something can be done by human. And of course the company need to profit but also give hospitality for their customer. This project suggest a prediction program using backpropagation algorithm from the problem above. The program objective is to make it easier to predict someone medical cost will be based on some factor they submitted when registering for insurance program. From that prediction the company can give the proper amount of a customer claim and still profit from it. The final result of this research got a 4% error on it which is still in the error tolerance. But, using wider data, more factor, more hidden layers, smaller learning rate and better hardware performance will make the error smaller. Keyword: Prediction, Backpropagation Algorithm, Medical Cost

Item Type:	Thesis (Other)
Subjects:	000 Computer Science, Information and General Works
Divisions:	Faculty of Computer Science > Department of Informatics Engineering
Depositing User:	Mr Lucius Oentoeng
Date Deposited:	16 Jul 2019 07:46
Last Modified:	13 Oct 2020 02:01
URI:	http://repository.unika.ac.id/id/eprint/19717

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