과제정보
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2019R1F1A1058651).
참고문헌
- J. C. Kim & K. Chung. (2020). Hybrid Multi-Modal Deep Learning using Collaborative Concat Layer in Health Bigdata. IEEE Access, 8, 192469-192480. DOI : 10.1109/ACCESS.2020.3031762
- H. Asri, H. Mousannif, H. Al Moatassime & T. Noel. (2015, June). Big data in healthcare: challenges and opportunities. In International Conference on Cloud Technologies and Applications (CloudTech), 1-7.
- J. C. Kim & K. Chung. (2020). Multi-modal stacked denoising autoencoder for handling missing data in healthcare big data. IEEE Access, 8, 104933-104943. DOI : 10.1109/ACCESS.2020.2997255
- S. V. Buuren & K. Groothuis-Oudshoorn. (2010). mice: Multivariate imputation by chained equations in R. Journal of statistical software, 1-68.
- N. V. Chawla, K. W. Bowyer, L. O. Hall & W. P. Kegelmeyer. (2002). SMOTE: synthetic minority over-sampling technique. Journal of artificial intelligence research, 16, 321-357. DOI : 10.1613/jair.953
- A. Truong, A. Walters, J. Goodsitt, K. Hines, C. B. Bruss & R. Farivar. (2019). Towards automated machine learning: Evaluation and comparison of AutoML approaches and tools. In 2019 IEEE 31st International Conference on Tools with Artificial Intelligence(ICTAI), 1471-1479. DOI : 10.1109/ICTAI.2019.00209
- D. J. Lee, J. S. Kang, M. J. Kim, J. W. Baek & K. Chung. (2021). Data Imbalance Processing through Over-sampling in Binary Classification Model. Korean Society For Internet Information Spring Conference, 77-78.
- Y. A. Shreider (2014). The Monte Carlo method: the method of statistical trials(Vol. 87). Elsevier.
- I. R. White, P. Royston & A. M. Wood. (2011). Multiple imputation using chained equations: issues and guidance for practice. Statistics in medicine, 30(4), 377-399. DOI : 10.1002/sim.4067
- C. Gong & L. Gu. (2016). A novel SMOTE-based classification approach to online data imbalance problem. Mathematical Problems in Engineering, 1-14.
- The Fifth Korea National Health and Nutrition Examination Survey (KNHANES V-2). (2015). Korea Centers for Disease Control and Prevention.
- B. L. Drinkwater, B. Bruemner & C. H. Chesnut. (1990). Menstrual history as a determinant of current bone density in young athletes. Jama, 263(4), 545-548. DOI : 10.1001/jama.1990.03440040084033
- Y. Liu, E. B. Gold, B. L. Lasley & W. O. Johnson. (2004). Factors affecting menstrual cycle characteristics. American journal of epidemiology, 160(2), 131-140. DOI : 10.1093/aje/kwh188
- J. Hao & T. K. Ho. (2019). Machine learning made easy: A review of scikit-learn package in Python programming language. Journal of Educational and Behavioral Statistics, 44(3), 348-361. DOI : 10.3102/1076998619832248
- S. E. Ryu, D. H. Shin & K. Chung. (2020). Prediction model of dementia risk based on XGBoost using derived variable extraction and hyper parameter optimization. IEEE Access, 8, 177708-177720. DOI : 10.1109/ACCESS.2020.3025553