참고문헌 (21)

1. 이강윤, 김준혁. 인공지능 왓슨 기술과 보건의료의 적용. 의학교육논단 = Korean medical education review, vol.18, no.2, 51-57.

   원문보기 상세보기

2. IBM Watson Hard At Work: New Breakthroughs Transform Quality Care for Patients [Internet] 

3. Gil Hospital adopts IBM WFO for the first time in South Korea[Internet] 

4. 한국인, 신선호, 임광묵, 이정한, 고연석. 한, 양방 협진치료에 대한 연구 경향 분석: 국내 논문을 대상으로. Journal of Korean Medicine Rehabilitation : JKMR = 한방재활의학과학회지, vol.28, no.1, 53-60.

   원문보기 상세보기

5. 84 percent of modern medicine doctor prescribe oriental medicine in Japan[Internet] 

6. Health and Welfare Forum Lee 97 0 2004 “Policy Directions to Promote Integrated Services of the Western and the Oriental Medicines” 

7. Choi Do-young of the Korean Medical Association said, "We are focusing our efforts to succeed in the standardization project of oriental medicine."[Internet] 

8. 문경실, 박수현. 맞춤형 진단 서비스를 위한 한의학 온톨로지. 韓國컴퓨터情報學會論文誌 = Journal of the Korea Society of Computer and Information, vol.15, no.1, 23-30.

   원문보기 상세보기

9. Korean J. Oriental Physiology & Pathology Shin 22 6 1403 2008 “Study on the Discrimination of Constitution Using Pulse Wave” 

10. Journal of Korean Medicine Kim 17 2 337 1996 “Study on the Standardization of Questionnaire for the Sasang Constitution Classification(QSCC II)” 

11. Journal of Knowledge Information Technology and Systems Kim 6 6 15 2011 “Optimization of Oriental Medicine Survey Using Data Mining Techiniques” 

12. Ijcai Kohavi 14 2 1137 1995 "A study of cross-validation and bootstrap for accuracy estimation and model selection" 

13. Scholarpedia Peterson 4 2 2009 10.4249/scholarpedia.1883 “K-nearest neighbor” 

    

14. KDD Kohabi 96 202 1996 “Scaling up the accuracy of Naive-Bayes classifiers: a decision tree hybrid” 

15. Amari, S., Wu, S.. Improving support vector machine classifiers by modifying kernel functions. Neural networks : the official journal of the International Neural Network Society, vol.12, no.6, 783-789.

    상세보기

16. R news Liaw 2 3 18 2002 “Classification and regression by randomForest” 

17. Friedman, Jerome H.. Greedy function approximation: A gradient boosting machine.. The Annals of statistics, vol.29, no.5,

    상세보기

18. Schmidhuber, J.. Deep learning in neural networks: An overview. Neural networks : the official journal of the International Neural Network Society, vol.61, 85-117.

    상세보기

19. International Conference on Learning Representations (ICLR) Kingma 5 2015 “Adam: A method for stochastic optimization“ 

20. “Rectified linear units improve restricted boltzmann machines” Nair 807 2010 

21. The Journal of Machine Learning Research Srivastava 15 1 1929 2014 “Dropout: a simple way to prevent neural networks from overfitting”