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Journal article

Personalized medication response prediction for attention-deficit hyperactivity disorder: Learning in the model space vs. learning in the data space

Abstract:

Attention-Deficit Hyperactive Disorder (ADHD) is one of the most common mental health disorders amongst school-aged children with an estimated prevalence of 5% in the global population (American Psychiatric Association, 2013). Stimulants, particularly methylphenidate (MPH), are the first-line option in the treatment of ADHD (Reeves and Schweitzer, 2004; Dopheide and Pliszka, 2009) and are prescribed to an increasing number of children and adolescents in the US and the UK every year (Safer et ...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.3389/fphys.2017.00199

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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Nuffield Dept of Population Health
Subgroup:
Clinical Trial Service Unit
Role:
Author
ORCID:
0000-0002-4516-5103
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Publisher:
Frontiers Media Publisher's website
Journal:
Frontiers in Physiology Journal website
Volume:
8
Issue:
APR
Pages:
199
Publication date:
2017-04-11
Acceptance date:
2017-03-17
DOI:
EISSN:
1664-042X
Pubs id:
pubs:908840
URN:
uri:8efe6e8a-5fcc-4dbc-9d1a-55f26cbe8089
UUID:
uuid:8efe6e8a-5fcc-4dbc-9d1a-55f26cbe8089
Local pid:
pubs:908840

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