| On ontology-driven document clustering using core semantic features S Fodeh, B Punch, PN Tan Knowledge and information systems 28, 395-421, 2011 | 123 | 2011 |
| Unlocking echocardiogram measurements for heart disease research through natural language processing OV Patterson, MS Freiberg, M Skanderson, S J. Fodeh, CA Brandt, ... BMC cardiovascular disorders 17, 1-11, 2017 | 77 | 2017 |
| Defining facets of social distancing during the COVID-19 pandemic: Twitter analysis J Kwon, C Grady, JT Feliciano, SJ Fodeh Journal of biomedical informatics 111, 103601, 2020 | 47 | 2020 |
| Frequent closed itemset mining using prefix graphs with an efficient flow-based pruning strategy HDK Moonesinghe, S Fodeh, PN Tan Sixth International Conference on Data Mining (ICDM'06), 426-435, 2006 | 46 | 2006 |
| Automatic extraction of informal topics from online suicidal ideation RN Grant, D Kucher, AM León, JF Gemmell, DS Raicu, SJ Fodeh BMC bioinformatics 19, 57-66, 2018 | 44 | 2018 |
| Classification of radiology reports for falls in an HIV study cohort J Bates, SJ Fodeh, CA Brandt, JA Womack Journal of the American Medical Informatics Association 23 (e1), e113-e117, 2016 | 44 | 2016 |
| Using machine learning algorithms to detect suicide risk factors on twitter S Fodeh, T Li, K Menczynski, T Burgette, A Harris, G Ilita, S Rao, ... 2019 international conference on data mining workshops (ICDMW), 941-948, 2019 | 43 | 2019 |
| Complementary ensemble clustering of biomedical data SJ Fodeh, C Brandt, TB Luong, A Haddad, M Schultz, T Murphy, ... Journal of biomedical informatics 46 (3), 436-443, 2013 | 38 | 2013 |
| Classifying clinical notes with pain assessment using machine learning SJ Fodeh, D Finch, L Bouayad, SL Luther, H Ling, RD Kerns, C Brandt Medical & biological engineering & computing 56, 1285-1292, 2018 | 37 | 2018 |
| Twitter-based analysis reveals differential COVID-19 concerns across areas with socioeconomic disparities Y Su, A Venkat, Y Yadav, LB Puglisi, SJ Fodeh Computers in Biology and Medicine 132, 104336, 2021 | 36 | 2021 |
| Validating a natural language processing tool to exclude psychogenic nonepileptic seizures in electronic medical record-based epilepsy research H Hamid, SJ Fodeh, AG Lizama, R Czlapinski, MJ Pugh, WC LaFrance Jr, ... Epilepsy & Behavior 29 (3), 578-580, 2013 | 33 | 2013 |
| Characterizing Clinical Text and Sublanguage: A Case Study of the VA Clinical Notes QT Zeng, D Redd, G Divita, S Jarad, C Brandt J Health Med Informat S 3, 2, 2011 | 32 | 2011 |
| Ranking medical terms to support expansion of lay language resources for patient comprehension of electronic health record notes: adapted distant supervision approach J Chen, AN Jagannatha, SJ Fodeh, H Yu JMIR medical informatics 5 (4), e8531, 2017 | 31 | 2017 |
| Functional impairments as symptoms in the symptom cluster analysis of patients newly diagnosed with advanced cancer SJ Fodeh, M Lazenby, M Bai, E Ercolano, T Murphy, R McCorkle Journal of pain and symptom management 46 (4), 500-510, 2013 | 28 | 2013 |
| Combining statistics and semantics via ensemble model for document clustering SJ Fodeh, WF Punch, PN Tan proceedings of the 2009 ACM symposium on applied computing, 1446-1450, 2009 | 28 | 2009 |
| Mining Big Data in biomedicine and health care S Fodeh, Q Zeng Journal of biomedical informatics 63, 400-403, 2016 | 27 | 2016 |
| Reducing annotation burden through multimodal learning K Lopez, SJ Fodeh, A Allam, CA Brandt, M Krauthammer Frontiers in big Data 3, 19, 2020 | 20 | 2020 |
| Emergency care and the patient experience: Using sentiment analysis and topic modeling to understand the impact of the COVID-19 pandemic S Chekijian, H Li, S Fodeh Health and Technology 11 (5), 1073-1082, 2021 | 18 | 2021 |
| Exploiting MEDLINE for gene molecular function prediction via NMF based multi-label classification SJ Fodeh, A Tiwari Journal of Biomedical Informatics 86, 160-166, 2018 | 18 | 2018 |
| Electronic approaches to making sense of the text in the adverse event reporting system AL Benin, SJ Fodeh, K Lee, M Koss, P Miller, C Brandt Journal of Healthcare Risk Management 36 (2), 10-20, 2016 | 15 | 2016 |
