Classifying early infant feeding status from clinical notes using natural language processing and machine learning.

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Title: Classifying early infant feeding status from clinical notes using natural language processing and machine learning.
Authors: Lemas DJ; Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, 2004 Mowry Road, Clinical and Translational Research Building, Gainesville, FL, 32610, USA. djlemas@ufl.edu.; Department of Obstetrics and Gynecology, University of Florida College of Medicine, Gainesville, FL, 32610, USA. djlemas@ufl.edu., Du X; Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA.; Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA., Rouhizadeh M; Department of Pharmaceutical Outcomes and Policy, University of Florida College of Medicine, Gainesville, FL, 32610, USA.; Biomedical Informatics and Data Science Section, Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA., Lewis B; Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, 2004 Mowry Road, Clinical and Translational Research Building, Gainesville, FL, 32610, USA., Frank S; Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, 2004 Mowry Road, Clinical and Translational Research Building, Gainesville, FL, 32610, USA., Wright L; Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, 2004 Mowry Road, Clinical and Translational Research Building, Gainesville, FL, 32610, USA., Spirache A; Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, 2004 Mowry Road, Clinical and Translational Research Building, Gainesville, FL, 32610, USA., Gonzalez L; Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, 2004 Mowry Road, Clinical and Translational Research Building, Gainesville, FL, 32610, USA., Cheves R; Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, 2004 Mowry Road, Clinical and Translational Research Building, Gainesville, FL, 32610, USA., Magalhães M; Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, 94305, USA., Zapata R; Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, 2004 Mowry Road, Clinical and Translational Research Building, Gainesville, FL, 32610, USA., Reddy R; Department of Computer and Information Science, Herbert Wertheim College of Engineering, University of Florida, Gainesville, FL, 32611, USA., Xu K; Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, 2004 Mowry Road, Clinical and Translational Research Building, Gainesville, FL, 32610, USA., Parker L; Department of Biobehavioral Nursing Science, University of Florida College of Nursing, Gainesville, FL, 32603, USA., Harle C; Health Policy and Management Department, Richard M. Fairbanks School of Public Health, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202, USA., Young B; Division of Breastfeeding and Lactation Medicine, University of Rochester Medical Center, Rochester, NY, 14642, USA., Louis-Jaques A; Department of Obstetrics and Gynecology, University of Florida College of Medicine, Gainesville, FL, 32610, USA., Zhang B; Health Science Center Libraries, University of Florida, Gainesville, FL, 32610, USA., Thompson L; Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC, 27101, USA., Hogan WR; Data Science Institute, Medical College of Wisconsin, Milwaukee, WI, 53226, USA., Modave F; Department of Anesthesiology, University of Florida College of Medicine, Gainesville, FL, 32610, USA.
Source: Scientific reports [Sci Rep] 2024 Apr 03; Vol. 14 (1), pp. 7831. Date of Electronic Publication: 2024 Apr 03.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-024-58299-x