| A survey of word embeddings for clinical text FK Khattak, S Jeblee, C Pou-Prom, M Abdalla, C Meaney, F Rudzicz Journal of Biomedical Informatics 100, 100057, 2019 | 252 | 2019 |
| Implementing machine learning in medicine AA Verma, J Murray, R Greiner, JP Cohen, KG Shojania, M Ghassemi, ... Cmaj 193 (34), E1351-E1357, 2021 | 90 | 2021 |
| A conversational robot for older adults with Alzheimer’s disease C Pou-Prom, S Raimondo, F Rudzicz ACM Transactions on Human-Robot Interaction (THRI) 9 (3), 1-25, 2020 | 41 | 2020 |
| Talk2Me: Automated linguistic data collection for personal assessment M Komeili, C Pou-Prom, D Liaqat, KC Fraser, M Yancheva, F Rudzicz PloS one 14 (3), e0212342, 2019 | 29 | 2019 |
| On the importance of normative data in speech-based assessment Z Noorian, C Pou-Prom, F Rudzicz arXiv preprint arXiv:1712.00069, 2017 | 24 | 2017 |
| Developing and validating natural language processing algorithms for radiology reports compared to ICD-10 codes for identifying venous thromboembolism in hospitalized medical … AA Verma, H Masoom, C Pou-Prom, S Shin, M Guerzhoy, M Fralick, ... Thrombosis Research 209, 51-58, 2022 | 18 | 2022 |
| Using machine learning to predict severe hypoglycaemia in hospital M Fralick, D Dai, C Pou‐Prom, AA Verma, M Mamdani Diabetes, Obesity and Metabolism 23 (10), 2311-2319, 2021 | 16 | 2021 |
| Learning multiview embeddings for assessing dementia C Pou-Prom, F Rudzicz Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 16 | 2018 |
| Assessment of natural language processing methods for ascertaining the expanded disability status scale score from the electronic health records of patients with multiple … Z Yang, C Pou-Prom, A Jones, M Banning, D Dai, M Mamdani, J Oh, ... JMIR Medical Informatics 10 (1), e25157, 2022 | 13 | 2022 |
| Automating stroke data extraction from free-text radiology reports using natural language processing: instrument validation study AYX Yu, ZA Liu, C Pou-Prom, K Lopes, MK Kapral, RI Aviv, M Mamdani JMIR Medical Informatics 9 (5), e24381, 2021 | 11 | 2021 |
| Preparing a clinical support model for silent mode in general internal medicine B Nestor, LG McCoy, A Verma, C Pou-Prom, J Murray, S Kuzulugil, D Dai, ... Machine Learning for Healthcare Conference, 950-972, 2020 | 10 | 2020 |
| Rule-based natural language processing for automation of stroke data extraction: a validation study D Gunter, P Puac-Polanco, O Miguel, RE Thornhill, AYX Yu, ZA Liu, ... Neuroradiology 64 (12), 2357-2362, 2022 | 9 | 2022 |
| [TD‐P‐015]: LUDWIG: A CONVERSATIONAL ROBOT FOR PEOPLE WITH ALZHEIMER'S F Rudzicz, S Raimondo, C Pou‐Prom Alzheimer's & Dementia 13 (7S_Part_3), P164-P164, 2017 | 9 | 2017 |
| Palliative care in the twenty-first century: using advanced analytics to uncloak insights from big data A Rajaram, T Morey, N Dosani, C Pou-Prom, M Mamdani Journal of palliative medicine 22 (2), 124-125, 2019 | 8 | 2019 |
| Developing and validating a prediction model for death or critical illness in hospitalized adults, an opportunity for human-computer collaboration AA Verma, C Pou-Prom, LG McCoy, J Murray, B Nestor, S Bell, O Mourad, ... Critical Care Explorations 5 (5), e0897, 2023 | 6 | 2023 |
| From compute to care: lessons learned from deploying an early warning system into clinical practice C Pou-Prom, J Murray, S Kuzulugil, M Mamdani, AA Verma Frontiers in Digital Health 4, 932123, 2022 | 5 | 2022 |
| Toronto CL CLEF 2018 eHealth Task 1: Multi-lingual ICD-10 Coding using an Ensemble of Recurrent and Convolutional Neural Networks. S Jeblee, A Budhkar, S Milic, J Pinto, C Pou-Prom, K Vishnubhotla, ... CLEF (Working Notes), 2018 | 4 | 2018 |
| TorontoCL at the CLEF 2018 eHealth Challenge Task S Jeblee, A Budhkar, S Milic, J Pinto, C Pou-Prom, K Vishnubhotla, ... in: CLEF 2018 Evaluation Labs and Workshop: Online Working Notes, CEUR-WS …, 2018 | 3 | 2018 |
| Predicting ICU transfers using text messages between nurses and doctors FK Khattak, C Pou-Prom, R Wu, F Rudzicz Proceedings of the 2nd Clinical Natural Language Processing Workshop, 89-94, 2019 | 2 | 2019 |
| Using real-time machine learning to prevent in-hospital hypoglycemia: a prospective study M Fralick, M Debnath, C Pou-Prom, P O’Brien, BA Perkins, E Carson, ... Internal and Emergency Medicine 18 (1), 325-328, 2023 | 1 | 2023 |
