{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T07:08:54Z","timestamp":1742972934093,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031672842"},{"type":"electronic","value":"9783031672859"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-67285-9_23","type":"book-chapter","created":{"date-parts":[[2024,8,14]],"date-time":"2024-08-14T05:02:21Z","timestamp":1723611741000},"page":"316-329","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Intelligent Multi-document Summarisation for\u00a0Extracting Insights on\u00a0Racial Inequalities from\u00a0Maternity Incident Investigation Reports"],"prefix":"10.1007","author":[{"given":"Georgina","family":"Cosma","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohit Kumar","family":"Singh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patrick","family":"Waterson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gyuchan Thomas","family":"Jun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jonathan","family":"Back","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,8,15]]},"reference":[{"key":"23_CR1","unstructured":"Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Burstein, J., Doran, C., Solorio, T. (eds.) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long and Short Papers), pp. 4171\u20134186. Association for Computational Linguistics (2019)"},{"key":"23_CR2","unstructured":"Huang, K., Altosaar, J., Ranganath, R.: ClinicalBERT: modeling clinical notes and predicting hospital readmission. ArXiv arXiv:abs\/1904.05342 (2019)"},{"issue":"4","key":"23_CR3","doi-asserted-by":"publisher","first-page":"1234","DOI":"10.1093\/bioinformatics\/btz682","volume":"36","author":"J Lee","year":"2019","unstructured":"Lee, J., et al.: BioBERT: a pre-trained biomedical language representation model for biomedical text mining. Bioinformatics 36(4), 1234\u20131240 (2019)","journal-title":"Bioinformatics"},{"key":"23_CR4","doi-asserted-by":"crossref","unstructured":"Lewis, M., et al.: BART: denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension. In: Annual Meeting of the Association for Computational Linguistics (2019)","DOI":"10.18653\/v1\/2020.acl-main.703"},{"key":"23_CR5","doi-asserted-by":"crossref","unstructured":"Luo, Z., Ji, Y., Gupta, A., Li, Z., Frisch, A., He, D.: Towards accurate and clinically meaningful summarization of electronic health record notes: A guided approach. In: 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), pp.\u00a01\u20135 (2023)","DOI":"10.1109\/BHI58575.2023.10313411"},{"key":"23_CR6","doi-asserted-by":"crossref","unstructured":"Patil, S.S., Moorthy, V.: Extraction of unstructured electronic healthcare records using natural language processing. In: 2023 International Conference on Networking and Communications (ICNWC), pp.\u00a01\u20136 (2023)","DOI":"10.1109\/ICNWC57852.2023.10127351"},{"key":"23_CR7","unstructured":"Radford, A., Narasimhan, K.: Improving Language Understanding by Generative Pre-Training (2018)"},{"key":"23_CR8","unstructured":"Raffel, C., et al.: Exploring the limits of transfer learning with a unified text-to-text transformer. J. Mach. Learn. Res. 21(1) (Jan 2020)"},{"key":"23_CR9","unstructured":"Sanh, V., Debut, L., Chaumond, J., Wolf, T.: DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter. ArXiv arXiv:abs\/1910.01108 (2019)"},{"key":"23_CR10","doi-asserted-by":"crossref","unstructured":"Singh, M.K., Cosma, G., Waterson, P., Back, J., Jun, G.T.: I-SIRch: AI-powered concept annotation tool for equitable extraction and analysis of safety insights from maternity investigations. Under Review (2023). Preprint available: https:\/\/github.com\/gcosma\/I-SIRchpapers","DOI":"10.23889\/ijpds.v9i2.2439"},{"key":"23_CR11","doi-asserted-by":"crossref","unstructured":"Tsai, H.Y., Huang, H.H., Chang, C.J., Tsai, J.S., Chen, H.H.: Patient history summarization on outpatient conversation. In: 2022 IEEE\/WIC\/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), pp. 364\u2013370 (2022)","DOI":"10.1109\/WI-IAT55865.2022.00060"},{"key":"23_CR12","unstructured":"Wang, W., Wei, F., Dong, L., Bao, H., Yang, N., Zhou, M.: Minilm: deep self-attention distillation for task-agnostic compression of pre-trained transformers. In: Proceedings of the 34th International Conference on Neural Information Processing Systems. NIPS\u201920, Curran Associates Inc., Red Hook, NY, USA (2020)"},{"issue":"4","key":"23_CR13","doi-asserted-by":"publisher","first-page":"781","DOI":"10.1109\/TNB.2023.3275195","volume":"22","author":"P Zelina","year":"2023","unstructured":"Zelina, P., Hal\u00e1mkov\u00e1, J., Nov\u00e1\u010dek, V.: Extraction, labeling, clustering, and semantic mapping of segments from clinical notes. IEEE Trans. Nanobiosci. 22(4), 781\u2013788 (2023)","journal-title":"IEEE Trans. Nanobiosci."},{"issue":"10","key":"23_CR14","doi-asserted-by":"publisher","first-page":"5066","DOI":"10.1109\/JBHI.2023.3304376","volume":"27","author":"Y Zhu","year":"2023","unstructured":"Zhu, Y., Yang, X., Wu, Y., Zhang, W.: Leveraging summary guidance on medical report summarization. IEEE J. Biomed. Health Inform. 27(10), 5066\u20135075 (2023)","journal-title":"IEEE J. Biomed. Health Inform."}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in Healthcare"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-67285-9_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T18:05:58Z","timestamp":1732644358000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-67285-9_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031672842","9783031672859"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-67285-9_23","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"15 August 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"AIiH","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on AI in Healthcare","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Swansea","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aiih2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aiih.cc","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}