Predicting seizure episodes and high-risk events in autism through adverse behavioral patterns.

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Bibliographic Details
Title: Predicting seizure episodes and high-risk events in autism through adverse behavioral patterns.
Authors: Kiarashi Y; Department of Biomedical Informatics, Emory University, Atlanta, GA, United States of America., Lantz J; The Center for Discovery (TCFD), Harris, NY, United States of America., Reyna MA; Department of Biomedical Informatics, Emory University, Atlanta, GA, United States of America., Anderson C; The Center for Discovery (TCFD), Harris, NY, United States of America., Rad AB; Department of Biomedical Informatics, Emory University, Atlanta, GA, United States of America., Foster J; The Center for Discovery (TCFD), Harris, NY, United States of America., Villavicencio T; The Center for Discovery (TCFD), Harris, NY, United States of America., Hamlin T; The Center for Discovery (TCFD), Harris, NY, United States of America., Clifford GD; Department of Biomedical Informatics, Emory University, Atlanta, GA, United States of America.; Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, United States of America.
Source: Physiological measurement [Physiol Meas] 2025 Apr 28; Vol. 46 (4). Date of Electronic Publication: 2025 Apr 28.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Intramural
Journal Info: Publisher: IOP Pub. Ltd Country of Publication: England NLM ID: 9306921 Publication Model: Electronic Cited Medium: Internet ISSN: 1361-6579 (Electronic) Linking ISSN: 09673334 NLM ISO Abbreviation: Physiol Meas Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1361-6579
DOI:10.1088/1361-6579/adcafd