Determining the tariffs of physicians using a combined model of data mining techniques and fuzzy logic in health insurance

سال انتشار: 1400
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 266

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شناسه ملی سند علمی:

IIEC18_087

تاریخ نمایه سازی: 1 دی 1400

چکیده مقاله:

The health insurance system can play an effective role to control health expenditures. The purpose of this study is to provide a model for estimating the physician visit tariffs. To achieve this goal, a hybrid model was used. fuzzy logic is the most appropriate tool for controlling systems and deriving rules for the relationship between inputs and outputs. So, the output of the data mining techniques enter the fuzzy logic as an input variable. The data were collected from the Health Insurance Organization of Iran in two sections including the physicians' costs and physicians' deductions. Owing to the techniques used in this model, NN had the least error, as compared to other data mining techniques (۰.۰۰۳۴ and ۰.۰۰۱۳, respectively). After defining the variables, membership functions and fuzzy logic rules, the accuracy of the whole control model was confirmed by random data. This research has dealt with the domains of health insurance , their connections and defining effective variables better and more extensively than the other studies in the field.

نویسندگان

Amir Akbarzadeh Janatabad

PhD student in industrial engineering , Department of Industrial Engineering, Yazd University,

Ahmad Sadeghieh

Professor, Department of Industrial Engineering, Yazd University,

Mohammad Mehdi Lotfi

Associate professor, Department of Industrial Engineering, Yazd University,

Ali Mostafaeipour

Associate professor, Department of Industrial Engineering, Yazd University,