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From ISLAB/CAISR
| Automatic Idea Detection from social media for Controlling and Preventing Healthcare-Associated Infections (with funding opportunity) |
| Keywords | Natural Language Processing (NLP), Machine Learning, Automatic Idea Detection (AID), Healthcare-associated infections (HAI) + |
|---|---|
| Level | Master + |
| OneLineSummary | This project aims to use advanced NLP tools to automatically detect interesting ideas by processing text available in the medical forums to address the Healthcare-associated infections problem in the hospitals + |
| Prerequisites | Machine Learning + |
| References | Devlin, Jacob, et al. "Bert: Pre-training … Devlin, Jacob, et al. "Bert: Pre-training of deep bidirectional transformers for language understanding." arXiv preprint arXiv:1810.04805 (2018). Nguyen, Dat Quoc, Thanh Vu, and Anh Tuan Nguyen. "BERTweet: A pre-trained language model for English Tweets." arXiv preprint arXiv:2005.10200 (2020). Gould, Dinah, et al. "Electronic hand hygiene monitoring: accuracy, impact on the Hawthorne effect and efficiency." Journal of Infection Prevention 21.4 (2020): 136-143. Christensen, Kasper, et al. "How good are ideas identified by an automatic idea detection system?." Creativity and Innovation Management 27.1 (2018): 23-31. Innovation Management 27.1 (2018): 23-31. |
| StudentProjectStatus | Open + |
| Supervisors | Fabio Gama + , Mahmoud Rahat + , Peyman Mashhadi + |
| Title | Automatic Idea Detection from social media for Controlling and Preventing Healthcare-Associated Infections (with funding opportunity) + |
| Categories | StudentProject + |
| Modification dateThis property is a special property in this wiki. | 30 October 2022 10:45:00 + |
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