You Jin Kim, Han-Gyu Kim, Zhun Li, Ho-Jin Choi. Avoiding Overfitting in Deep Neural Networks for Clinical Opinions Generation from General Blood Test Results. In Adi V. Gundlapalli, Marie-Christine Jaulent, Dongsheng Zhao, editors, MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics, Hangzhou, China, 21-25 August 2017. Volume 245 of Studies in Health Technology and Informatics, pages 1274, IOS Press, 2017. [doi]
@inproceedings{KimKLC17,
title = {Avoiding Overfitting in Deep Neural Networks for Clinical Opinions Generation from General Blood Test Results},
author = {You Jin Kim and Han-Gyu Kim and Zhun Li and Ho-Jin Choi},
year = {2017},
doi = {10.3233/978-1-61499-830-3-1274},
url = {https://doi.org/10.3233/978-1-61499-830-3-1274},
researchr = {https://researchr.org/publication/KimKLC17},
cites = {0},
citedby = {0},
pages = {1274},
booktitle = {MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics, Hangzhou, China, 21-25 August 2017},
editor = {Adi V. Gundlapalli and Marie-Christine Jaulent and Dongsheng Zhao},
volume = {245},
series = {Studies in Health Technology and Informatics},
publisher = {IOS Press},
isbn = {978-1-61499-830-3},
}