Published on 30.11.16 in Vol 4, No 4 (2016): Oct-Dec
Works citing "Finding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert Annotations"
According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.6373):
(note that this is only a small subset of citations)
- Qassimi S, Abdelwahed EH. The role of collaborative tagging and ontologies in emerging semantic of web resources. Computing 2019;CrossRef
- Chen J, Lalor J, Liu W, Druhl E, Granillo E, Vimalananda VG, Yu H. Detecting Hypoglycemia Incidents Reported in Patients’ Secure Messages: Using Cost-Sensitive Learning and Oversampling to Reduce Data Imbalance. Journal of Medical Internet Research 2019;21(3):e11990CrossRef
- Chen J, Jagannatha AN, Fodeh SJ, Yu H. Ranking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach. JMIR Medical Informatics 2017;5(4):e42CrossRef
- Chen J, Yu H. Unsupervised ensemble ranking of terms in electronic health record notes based on their importance to patients. Journal of Biomedical Informatics 2017;68:121CrossRef