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For: Lybarger K, Ostendorf M, Yetisgen M. Annotating social determinants of health using active learning, and characterizing determinants using neural event extraction. J Biomed Inform 2021;113:103631. [PMID: 33290878 DOI: 10.1016/j.jbi.2020.103631] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Yetisgen M, Uzuner O, Gao Y, Mahajan D. Call for papers: Special issue on clinical natural language processing for secondary use applications. J Biomed Inform 2022;133:104152. [PMID: 35985622 DOI: 10.1016/j.jbi.2022.104152] [Reference Citation Analysis]
2 Gao Y, Dligach D, Christensen L, Tesch S, Laffin R, Xu D, Miller T, Uzuner O, Churpek MM, Afshar M. A scoping review of publicly available language tasks in clinical natural language processing. J Am Med Inform Assoc 2022:ocac127. [PMID: 35923088 DOI: 10.1093/jamia/ocac127] [Reference Citation Analysis]
3 Han S, Zhang RF, Shi L, Richie R, Liu H, Tseng A, Quan W, Ryan N, Brent D, Tsui FR. Classifying Social Determinants of Health from Unstructured Electronic Health Records Using Deep Learning-based Natural Language Processing. J Biomed Inform 2022;:103984. [PMID: 35007754 DOI: 10.1016/j.jbi.2021.103984] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Patra BG, Sharma MM, Vekaria V, Adekkanattu P, Patterson OV, Glicksberg B, Lepow LA, Ryu E, Biernacka JM, Furmanchuk A, George TJ, Hogan W, Wu Y, Yang X, Bian J, Weissman M, Wickramaratne P, Mann JJ, Olfson M, Campion TR, Weiner M, Pathak J. Extracting social determinants of health from electronic health records using natural language processing: a systematic review. J Am Med Inform Assoc 2021;28:2716-27. [PMID: 34613399 DOI: 10.1093/jamia/ocab170] [Cited by in F6Publishing: 7] [Reference Citation Analysis]
5 Martin JA, Crane-Droesch A, Lapite FC, Puhl JC, Kmiec TE, Silvestri JA, Ungar LH, Kinosian BP, Himes BE, Hubbard RA, Diamond JM, Ahya V, Sims MW, Halpern SD, Weissman GE. Development and validation of a prediction model for actionable aspects of frailty in the text of clinicians' encounter notes. J Am Med Inform Assoc 2021:ocab248. [PMID: 34791302 DOI: 10.1093/jamia/ocab248] [Reference Citation Analysis]
6 Vest JR, Wu W, Mendonca EA. Sensitivity and Specificity of Real-World Social Factor Screening Approaches. J Med Syst 2021;45:111. [PMID: 34767091 DOI: 10.1007/s10916-021-01788-7] [Reference Citation Analysis]
7 Hong Z, Ward L, Chard K, Blaiszik B, Foster I. Challenges and Advances in Information Extraction from Scientific Literature: a Review. JOM 2021;73:3383-400. [DOI: 10.1007/s11837-021-04902-9] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Bompelli A, Wang Y, Wan R, Singh E, Zhou Y, Xu L, Oniani D, Kshatriya BSA, Balls-berry J(E, Zhang R. Social and Behavioral Determinants of Health in the Era of Artificial Intelligence with Electronic Health Records: A Scoping Review. Health Data Science 2021;2021:1-19. [DOI: 10.34133/2021/9759016] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
9 Lybarger K, Ostendorf M, Thompson M, Yetisgen M. Extracting COVID-19 diagnoses and symptoms from clinical text: A new annotated corpus and neural event extraction framework. J Biomed Inform 2021;117:103761. [PMID: 33781918 DOI: 10.1016/j.jbi.2021.103761] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]