| Patient representation learning and interpretable evaluation using clinical notes M Sushil, S Šuster, K Luyckx, W Daelemans Journal of biomedical informatics 84, 103-113, 2018 | 35 | 2018 |
| Rule induction for global explanation of trained models M Sushil, S Šuster, W Daelemans Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and …, 2018 | 21 | 2018 |
| Counting trees in random forests: predicting symptom severity in psychiatric intake reports E Scheurwegs, M Sushil, S Tulkens, W Daelemans, K Luyckx Journal of biomedical informatics 75, S112-S119, 2017 | 21 | 2017 |
| Integration of Safety and Smartness Using Cloud Services: An Insight to Future N Tekriwal, Madhumita, PV Krishna Innovations and Advances in Computer, Information, Systems Sciences, and …, 2013 | 10 | 2013 |
| Are we there yet? Exploring clinical domain knowledge of BERT models M Sushil, S Suster, W Daelemans Proceedings of the 20th Workshop on Biomedical Language Processing, 41-53, 2021 | 9 | 2021 |
| Contextual explanation rules for neural clinical classifiers M Sushil, S Suster, W Daelemans Proceedings of the 20th Workshop on Biomedical Language Processing, 202-212, 2021 | 2* | 2021 |
| Unsupervised patient representations from clinical notes with interpretable classification decisions M Sushil, S Šuster, K Luyckx, W Daelemans Workshop on Machine Learning for Health, NeurIPS 2017, 2017 | 2 | 2017 |
| Revisiting neural relation classification in clinical notes with external information S Šuster, M Sushil, W Daelemans Workshop on Health Text Mining and Information Analysis (LOUHI), workshop at …, 2018 | 1 | 2018 |
| Cross-institution text mining to uncover clinical associations: a case study relating social factors and code status in intensive care medicine M Sushil, AJ Butte, E Schuit, M van Smeden, AM Leeuwenberg arXiv preprint arXiv:2301.06570, 2023 | | 2023 |
| Topic Modeling on Clinical Social Work Notes for Exploring Social Determinants of Health Factors S Sun, T Zack, M Sushil, AJ Butte arXiv preprint arXiv:2212.01462, 2022 | | 2022 |
| Developing a general-purpose clinical language inference model from a large corpus of clinical notes M Sushil, D Ludwig, AJ Butte, VA Rudrapatna arXiv preprint arXiv:2210.06566, 2022 | | 2022 |
| SA50 Topic Modeling on Social Work Notes for Exploring Social Determinants of Health Factors S Sun, A Butte, M Sushil Value in Health 25 (7), S613-S614, 2022 | | 2022 |
| Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop I Sorodoc, M Sushil, E Takmaz, E Agirre Proceedings of the 16th Conference of the European Chapter of the …, 2021 | | 2021 |
| Exploring and Understanding Neural Models for Clinical Tasks: Thesis M Sushil | | 2021 |
| Exploring and Understanding Neural Models for Clinical Tasks M Sushil University of Antwerp, 2021 | | 2021 |
| Why can't memory networks read effectively? S Šuster, M Sushil, W Daelemans arXiv preprint arXiv:1910.07350, 2019 | | 2019 |
| Mining gold from EMRs: using clinical notes to automate patient screenings M Beeksma, M Sushil, P Fivez, S Šuster, F Kunneman, G Ghanem, ... | | |
| Lessons learned from clinical language processing M Sushil | | |
Walter DaelemansProfessor of Computational Linguistics, University of AntwerpVerified email at uantwerpen.be
