Using deep learning to improve medication safety: the untapped potential of social media.

about

Using deep learning to improve medication safety: the untapped potential of social media.

Item

http://www.wikidata.org/entity/Q47109104

description

2017 nî lūn-bûn

@nan

2017年の論文

@ja

2017年学术文章

@wuu

2017年学术文章

@zh

2017年学术文章

@zh-cn

2017年学术文章

@zh-hans

2017年学术文章

@zh-my

2017年学术文章

@zh-sg

2017年學術文章

@yue

2017年學術文章

@zh-hant

name

Using deep learning to improve medication safety: the untapped potential of social media.

@en

Using deep learning to improve medication safety: the untapped potential of social media.

@nl

type

Item

label

Using deep learning to improve medication safety: the untapped potential of social media.

@en

Using deep learning to improve medication safety: the untapped potential of social media.

@nl

prefLabel

Using deep learning to improve medication safety: the untapped potential of social media.

@en

Using deep learning to improve medication safety: the untapped potential of social media.

@nl

P1476

Using deep learning to improve medication safety: the untapped potential of social media.

@en

P2093

Daniel Dajun Zeng

http://www.w3.org/2001/XMLSchema#string

Jiaheng Xie

http://www.w3.org/2001/XMLSchema#string

Zachary A Marcum

http://www.w3.org/2001/XMLSchema#string

P2860

Deep learning

Adherence to Medication

Portable automatic text classification for adverse drug reaction detection via multi-corpus training.

Clinical and economic burden of adverse drug reactions

Medication nonadherence: a diagnosable and treatable medical condition.

Multiple chronic conditions among US adults: a 2012 update.

Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts.

Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation.

P304

375-377

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

editorial

P356

10.1177/2042098617729318

http://www.w3.org/2001/XMLSchema#string

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P577

2017-09-06T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

29204265

http://www.w3.org/2001/XMLSchema#string

P921

deep learning

social media

P932

5703102

http://www.w3.org/2001/XMLSchema#string