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Enhancing early autism prediction based on electronic records using clinical narratives.

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Bibliographic Details
Title: Enhancing early autism prediction based on electronic records using clinical narratives.
Authors: Chen J; Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27705, United States. Electronic address: junya.chen@duke.edu., Engelhard M; Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27705, United States., Henao R; Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27705, United States., Berchuck S; Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27705, United States., Eichner B; Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27705, United States., Perrin EM; Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27705, United States., Sapiro G; Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27705, United States., Dawson G; Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27705, United States.
Source: Journal of biomedical informatics [J Biomed Inform] 2023 Aug; Vol. 144, pp. 104390. Date of Electronic Publication: 2023 May 12.
Publication Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 100970413 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-0480 (Electronic) Linking ISSN: 15320464 NLM ISO Abbreviation: J Biomed Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1532-0480
DOI:10.1016/j.jbi.2023.104390