Proceedings of the Korea Information Processing Society Conference (한국정보처리학회:학술대회논문집)
- 2023.05a
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- Pages.325-327
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- 2023
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
Diabetes Prediction with the TCN-Prophet model using UCI Machine Learning Repository
UCI machine learning repository 사용한 TCN-Prophet 기반 당뇨병 예측
- Tan Tianbo (Hanyang Univ.) ;
- Inwhee Joe (Hanyang Univ.)
- Published : 2023.05.18
Abstract
Diabetes is a common chronic disease that threatens human life and health, and its prevalence remains high because its mechanisms are complex, further its etiology remains unclear. According to the International Diabetes Federation (IDF), there are 463 million cases of diabetes in adults worldwide, and the number is growing. This study aims to explore the potential influencing factors of diabetes by learning data from the UCI diabetes dataset, which is a multivariate time series dataset. In this paper we propose the TCN-prophet model for diabetes. The experimental results show that the prediction of insulin concentration by the TCN-prophet model provides a high degree of consistency, compared to the existing LSTM model.
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