- 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 ...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
-
-
(pdf, 3.8MB)
-
- Publisher copy:
- 10.3389/fphys.2017.00199
-
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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
- Copyright holder:
- Wong et al
- Copyright date:
- 2017
- Notes:
- Copyright © 2017 Wong, Tiffin, Chappell, Nichols, Welsh, Doyle, Lopez-Kolkovska, Inglis, Coghill, Shen and Tiño. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Journal article
Personalized medication response prediction for attention-deficit hyperactivity disorder: Learning in the model space vs. learning in the data space
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