@inproceedings{92a454a562f44bb6a7b166c580e5ac52,
title = "MKDS: A Medical Knowledge Discovery System Learned from Electronic Medical Records (Demonstration)",
abstract = "This paper presents a medical knowledge discovery system (MKDS) that learns the medical knowledge from electronic medical records (EMRs). The distributed word representations model the relations among medical concepts such as diseases and medicines. Four tasks, including spell checking, clinical trait extraction, analogical reasoning, and computer-aided diagnosis, are demonstrated in our system.",
keywords = "Distributed word representation, Medical knowledge discovery, Medical records",
author = "Huang, {Hen Hsen} and Yen, {An Zi} and Chen, {Hsin Hsi}",
note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; 14th Asia Information Retrieval Societies conference, AIRS 2018 ; Conference date: 28-11-2018 Through 30-11-2018",
year = "2018",
doi = "10.1007/978-3-030-03520-4_19",
language = "English",
isbn = "9783030035198",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "196--202",
editor = "Lun-Wei Ku and Jui-Feng Yeh and Liang-Chih Yu and Yuen-Hsien Tseng and Zhi-Hong Chen and Tetsuya Sakai and Jing Jiang and Lung-Hao Lee and Park, {Dae Hoon}",
booktitle = "Information Retrieval Technology - 14th Asia Information Retrieval Societies Conference, AIRS 2018, Proceedings",
address = "德國",
}