A new approach to integrating patient-generated data with expert knowledge for personalized goal setting: A pilot study.

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Bibliographic Details
Title: A new approach to integrating patient-generated data with expert knowledge for personalized goal setting: A pilot study.
Authors: Burgermaster M; Nutritional Sciences & Population Health, University of Texas at Austin, Austin, TX, USA; Biomedical Informatics, Columbia University, New York, NY, USA. Electronic address: marissa.burgermaster@austin.utexas.edu., Son JH; Biomedical Informatics, Columbia University, New York, NY, USA., Davidson PG; Nutrition, West Chester University, West Chester, PA, USA., Smaldone AM; School of Nursing & College of Dental Medicine, Columbia University, New York, NY, USA., Kuperman G; Biomedical Informatics, Columbia University, New York, NY, USA; Memorial Sloan Kettering Cancer Center, New York, NY, USA., Feller DJ; Biomedical Informatics, Columbia University, New York, NY, USA., Burt KG; Health Sciences, Lehman College, Bronx, NY, USA., Levine ME; Biomedical Informatics, Columbia University, New York, NY, USA., Albers DJ; Biomedical Informatics, Columbia University, New York, NY, USA; Pediatrics & Informatics, University of Colorado, Aurora, CO, USA., Weng C; Biomedical Informatics, Columbia University, New York, NY, USA., Mamykina L; Biomedical Informatics, Columbia University, New York, NY, USA.
Source: International journal of medical informatics [Int J Med Inform] 2020 Jul; Vol. 139, pp. 104158. Date of Electronic Publication: 2020 Apr 30.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 9711057 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8243 (Electronic) Linking ISSN: 13865056 NLM ISO Abbreviation: Int J Med Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1872-8243
DOI:10.1016/j.ijmedinf.2020.104158