文献
J-GLOBAL ID:201702210312289874
整理番号:17A0452615
ソーシャルメディアデータを用いた潜在性感染症を発見するための教師なし機械学習モデル【Powered by NICT】
An unsupervised machine learning model for discovering latent infectious diseases using social media data
著者 (4件):
Lim Sunghoon
(Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, PA 16802, USA)
,
Tucker Conrad S.
(School of Engineering Design, Technology, and Professional Programs, The Pennsylvania State University, University Park, PA 16802, USA)
,
Tucker Conrad S.
(Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, PA 16802, USA)
,
Kumara Soundar
(Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, PA 16802, USA)
資料名:
Journal of Biomedical Informatics
(Journal of Biomedical Informatics)
巻:
66
ページ:
82-94
発行年:
2017年
JST資料番号:
B0827A
ISSN:
1532-0464
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)