文献
J-GLOBAL ID:202002219589736228
整理番号:20A2527037
Vapingに関連した陰性健康転帰検出の実現可能性を調査するためのTwitterデータの活用【JST・京大機械翻訳】
Leveraging Twitter Data to Explore the Feasibility of Detecting Negative Health Outcomes Related to Vaping
著者 (5件):
Kasson Erin
(Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA)
,
Cao Lijuan
(Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA)
,
Huang Ming
(Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA)
,
Wu Dezhi
(Department of Integrated Information Technology, University of South Carolina, Columbia, SC, USA)
,
Cavazos-Rehg Patricia A.
(Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA)
資料名:
Communications in Computer and Information Science
(Communications in Computer and Information Science)
巻:
1294
ページ:
464-468
発行年:
2020年
JST資料番号:
W5071A
ISSN:
1865-0929
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)