Samah J. Fodeh, Ph.D.
Affiliations: | 2010 | Michigan State University, East Lansing, MI |
Area:
Computer ScienceGoogle:
"Samah Fodeh"Parents
Sign in to add mentorPang-Ning Tan | grad student | 2010 | Michigan State | |
(Incorporating background knowledge in document clustering.) |
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Publications
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Chen J, Jagannatha AN, Fodeh SJ, et al. (2017) 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. 5: e42 |
Benin AL, Fodeh SJ, Lee K, et al. (2016) Electronic approaches to making sense of the text in the adverse event reporting system. Journal of Healthcare Risk Management : the Journal of the American Society For Healthcare Risk Management. 36: 10-20 |
Fodeh SJ, Trentalange M, Allore HG, et al. (2015) Baseline cluster membership demonstrates positive associations with first occurrence of multiple gerontologic outcomes over 10 years. Experimental Aging Research. 41: 177-92 |
Fodeh SJ, Brandt C, Luong TB, et al. (2013) Complementary ensemble clustering of biomedical data. Journal of Biomedical Informatics. 46: 436-43 |
Fodeh SJ, Haddad A, Brandt C, et al. (2012) Enhancing Clustering by Exploiting Complementary Data Modalities in the Medical Domain. Ifip Advances in Information and Communication Technology. 381: 357-367 |
Fodeh SJ, Haddad A, Brandt C, et al. (2012) Enhancing clustering by exploiting complementary data modalities in the medical domain Ifip Advances in Information and Communication Technology. 381: 357-367 |
Fodeh S, Punch B, Tan P. (2011) On ontology-driven document clustering using core semantic features Knowledge and Information Systems. 28: 395-421 |
Fodeh SJ, Punch WF, Tan PN. (2009) Combining statistics and semantics via ensemble model for document clustering Proceedings of the Acm Symposium On Applied Computing. 1446-1450 |
Fodeh SJ, Tan PN. (2007) Incorporating background knowledge for subjective rule evaluation Proceedings - International Conference On Tools With Artificial Intelligence, Ictai. 2: 148-155 |