International journal of advanced smart convergence

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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Adaptive Recommendation System for Health Screening based on Machine Learning

  • Kim, Namyun (School of Computer Engineering, Hansung University) ;
  • Kim, Sung-Dong (School of Computer Engineering, Hansung University)
  • Received : 2020.03.12
  • Accepted : 2020.03.21
  • Published : 2020.06.30
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Abstract

As the demand for health screening increases, there is a need for efficient design of screening items. We build machine learning models for health screening and recommend screening items to provide personalized health care service. When offline, a synthetic data set is generated based on guidelines and clinical results from institutions, and a machine learning model for each screening item is generated. When online, the recommendation server provides a recommendation list of screening items in real time using the customer's health condition and machine learning models. As a result of the performance analysis, the accuracy of the learning model was close to 100%, and server response time was less than 1 second to serve 1,000 users simultaneously. This paper provides an adaptive and automatic recommendation in response to changes in the new screening environment.

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References

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