Personalized Medication Response Prediction for Attention-Deficit Hyperactivity Disorder: Learning in the Model Space Versus Learning in the Data Space

Wong, Hin Kwan, Tiffin, Paul Alexander orcid.org/0000-0003-1770-5034, Chappell, Michael J et al. (8 more authors) (2017) Personalized Medication Response Prediction for Attention-Deficit Hyperactivity Disorder: Learning in the Model Space Versus Learning in the Data Space. Frontiers in physiology. 199. ISSN 1664-042X

Abstract

Metadata

Authors/Creators:
  • Wong, Hin Kwan
  • Tiffin, Paul Alexander https://orcid.org/0000-0003-1770-5034
  • Chappell, Michael J
  • Nichols, Thomas E.
  • Welsh, Patrick R.
  • Doyle, Orla M.
  • Lopez-Kolkovska, Boryana C.
  • Inglis, Sarah K.
  • Coghill, David
  • Shen, Yuan
  • Tiño, Peter
Copyright, Publisher and Additional Information: © 2017 Wong, Tiffin, Chappell, Nichols, Welsh, Doyle, Lopez-kolkovska, Inglis, Coghill, Shen and Tiño.
Keywords: Attention-deficit hyperactivity disorder,Bayesian inference,Machine learning,Methylphenidate,Mixed effects model,Personalized medicine,Prognosis,Treatment response,Physiology,Physiology (medical)
Dates:
  • Accepted: 17 March 2017
  • Published: 11 April 2017
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Hull York Medical School (York)
Depositing User: Pure (York)
Date Deposited: 22 Mar 2017 15:20
Last Modified: 29 Nov 2019 16:00
Published Version: https://doi.org/10.3389/fphys.2017.00199
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.3389/fphys.2017.00199
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Description: fphys-08-00199

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