Data science for mental health: a UK perspective on a global challenge.

Data science for mental health: a UK perspective on a global challenge.

Item
http://www.wikidata.org/entity/Q31134145
Linking health and education data to plan and evaluate services for children.The 'cognitive footprint' of psychiatric and neurological conditions: cross-sectional study in the UK Biobank cohort.Electronic health record and genome-wide genetic data in Generation Scotland participants.The revolution of personalized psychiatry: will technology make it happen sooner?Predictive Psychiatric Genetic Testing in Minors: An Exploration of the Non-Medical Benefits.Self-reported medication use validated through record linkage to national prescribing data.The Emerging Neurobiology of Bipolar Disorder.Using flawed, uncertain, proximate and sparse (FUPS) data in the context of complexity: learning from the case of child mental health.Using Neural Networks with Routine Health Records to Identify Suicide Risk: Feasibility Study
P2860

Data science for mental health: a UK perspective on a global challenge.

Item
http://www.wikidata.org/entity/Q31134145
description
2016 nî lūn-bûn
@nan
2016 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Data science for mental health: a UK perspective on a global challenge.
@ast
Data science for mental health: a UK perspective on a global challenge.
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type
label
Data science for mental health: a UK perspective on a global challenge.
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Data science for mental health: a UK perspective on a global challenge.
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Data science for mental health: a UK perspective on a global challenge.
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Data science for mental health: a UK perspective on a global challenge.
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Data science for mental health: a UK perspective on a global challenge.
@en
P2093
P304
P31
P356
10.1016/S2215-0366(16)30089-X
P433
P478
P50
P577
P698
P921