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For: Gu G, Zhang X, Zhu X, Jian Z, Chen K, Wen D, Gao L, Zhang S, Wang F, Ma H, Lei J. Development of a Consumer Health Vocabulary by Mining Health Forum Texts Based on Word Embedding: Semiautomatic Approach. JMIR Med Inform 2019;7:e12704. [PMID: 31124461 DOI: 10.2196/12704] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 2.5] [Reference Citation Analysis]
Number Citing Articles
1 Tong C, Margolin D, Chunara R, Niederdeppe J, Taylor T, Dunbar N, King AJ. Search Term Identification Methods for Computational Health Communication: Word Embedding and Network Approach for Health Content on YouTube. JMIR Med Inform 2022;10:e37862. [PMID: 36040760 DOI: 10.2196/37862] [Reference Citation Analysis]
2 Gillespie A, Reader TW. Online patient feedback as a safety valve: An automated language analysis of unnoticed and unresolved safety incidents. Risk Anal 2022. [PMID: 35945156 DOI: 10.1111/risa.14002] [Reference Citation Analysis]
3 Ouyang W, Xie W, Xin Z, He H, Wen T, Peng X, Dai P, Yuan Y, Liu F, Chen Y, Luo A. Evolutionary Overview of Consumer Health Informatics: Bibliometric Study on the Web of Science from 1999 to 2019. J Med Internet Res 2021;23:e21974. [PMID: 34499042 DOI: 10.2196/21974] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
4 Ibrahim M, Gauch S, Salman O, Alqahtani M. An automated method to enrich consumer health vocabularies using GloVe word embeddings and an auxiliary lexical resource. PeerJ Comput Sci 2021;7:e668. [PMID: 34458573 DOI: 10.7717/peerj-cs.668] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
5 Noble A, Shaham D. Why do Thoracic Radiologists Need to Know About Cultural Competence (and What Is it Anyway)? J Thorac Imaging 2020;35:73-8. [PMID: 31913259 DOI: 10.1097/RTI.0000000000000467] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
6 Hasan A, Levene M, Weston D. Learning structured medical information from social media. J Biomed Inform 2020;110:103568. [PMID: 32942027 DOI: 10.1016/j.jbi.2020.103568] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
7 He D, Wang Z, Thaker K, Zou N. Translation and Expansion: Enabling Laypeople Access to the COVID-19 Academic Collection. Data Inf Manag 2020;4:177-90. [PMID: 35382101 DOI: 10.2478/dim-2020-0011] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
8 Wu DTY, Xin C, Bindhu S, Xu C, Sachdeva J, Brown JL, Jung H. Clinician Perspectives and Design Implications in Using Patient-Generated Health Data to Improve Mental Health Practices: Mixed Methods Study. JMIR Form Res 2020;4:e18123. [PMID: 32763884 DOI: 10.2196/18123] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
9 Ouyang W, Xie W, Xin Z, He H, Wen T, Peng X, Dai P, Yuan Y, Liu F, Chen Y, Luo A. Evolutionary Overview of Consumer Health Informatics: Bibliometric Study on the Web of Science from 1999 to 2019 (Preprint).. [DOI: 10.2196/preprints.21974] [Reference Citation Analysis]
10 Wu DTY, Xin C, Bindhu S, Xu C, Sachdeva J, Brown JL, Jung H. Clinician Perspectives and Design Implications in Using Patient-Generated Health Data to Improve Mental Health Practices: Mixed Methods Study (Preprint).. [DOI: 10.2196/preprints.18123] [Reference Citation Analysis]