Search Results - "Alibilli AS"

Decoding Digital Discourse Through Multimodal Text and Image Machine Learning Models to Classify Sentiment and Detect Hate Speech in Race- and Lesbian, Gay, Bisexual, Transgender, Queer, Intersex, and Asexual Community–Related Posts on Social Media: Quantitative Study

Authors: Nguyen, Thu T Yue, Xiaohe Mane, Heran et al.

Source: Journal of Medical Internet Research; 2025, Vol. 27, p1-19, 19p

Changes in the Neighborhood Built Environment and Chronic Health Conditions in Washington, DC, in 2014-2019: Longitudinal Analysis.

Authors: Nguyen, Quynh C Doumbia, Riki Nguyen, Thu T et al.

Source: JMIR Formative Research; 2025, Vol. 9, p1-18, 18p

A decade of discourse: Exploring sentiments and trends around immigration on social media from 2014 to 2024.

Authors: Nguyen, Thu T. Mullaputi, Penchala Sai Priya Yue, Xiaohe et al.

Source: Social Science & Medicine. Jan2026, Vol. 388, pN.PAG-N.PAG. 1p.

Harnessing Facebook to Investigate Real-World Mentions of Adverse Events of Glucagon-Like Peptide-1 Receptor Agonist (GLP-1 RA) Medications: Observational Study of Facebook Posts From 2022 to 2024.

Authors: Alibilli AS Jain V Mane H et al.

Source: JMIR infodemiology [JMIR Infodemiology] 2025 Jul 24; Vol. 5, pp. e73619. Date of Electronic Publication: 2025 Jul 24.

Publication Type: Journal Article; Observational Study; Research Support, N.I.H., Intramural

Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 9918249014806676 Publication Model: Electronic Cited Medium: Internet ISSN: 2564-1891 (Electronic) Linking ISSN: 25641891 NLM ISO Abbreviation: JMIR Infodemiology Subsets: MEDLINE