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Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes.
Verma, Deepika; Jansen, Duncan; Bach, Kerstin; Poel, Mannes; Mork, Paul Jarle; d'Hollosy, Wendy Oude Nijeweme.
Affiliation
  • Verma D; Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway. deepika.verma@ntnu.no.
  • Jansen D; Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Twente, The Netherlands.
  • Bach K; Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway.
  • Poel M; Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Twente, The Netherlands.
  • Mork PJ; Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.
  • d'Hollosy WON; Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Twente, The Netherlands.
BMC Med Inform Decis Mak ; 22(1): 227, 2022 09 01.
Article in En | MEDLINE | ID: mdl-36050726
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Low Back Pain Type of study: Clinical_trials / Diagnostic_studies / Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Limits: Humans Language: En Journal: BMC Med Inform Decis Mak Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: Country of publication:
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Low Back Pain Type of study: Clinical_trials / Diagnostic_studies / Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Limits: Humans Language: En Journal: BMC Med Inform Decis Mak Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: Country of publication: