{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,21]],"date-time":"2025-06-21T04:30:19Z","timestamp":1750480219535,"version":"3.40.3"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031343438"},{"type":"electronic","value":"9783031343445"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-34344-5_8","type":"book-chapter","created":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T23:03:59Z","timestamp":1685919839000},"page":"57-62","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Autoencoder-Based Prediction of ICU Clinical Codes"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0554-6646","authenticated-orcid":false,"given":"Tsvetan R.","family":"Yordanov","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4324-7954","authenticated-orcid":false,"given":"Ameen","family":"Abu-Hanna","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3447-8286","authenticated-orcid":false,"given":"Anita CJ.","family":"Ravelli","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3066-9464","authenticated-orcid":false,"given":"Iacopo","family":"Vagliano","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,6,5]]},"reference":[{"key":"8_CR1","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1007\/s10791-022-09408-9","volume":"25","author":"I Vagliano","year":"2022","unstructured":"Vagliano, I., Galke, L., Scherp, A.: Recommendations for item set completion: on the semantics of item co-occurrence with data sparsity, input size, and input modalities. Information Retrieval Journal 25, 269\u2013305 (2022)","journal-title":"Information Retrieval Journal"},{"key":"8_CR2","doi-asserted-by":"crossref","unstructured":"Galke, L., Mai, F., Vagliano, I., Scherp, A.: Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels. Proceedings 26th Conference on User Modeling, Adaptation and Personalization, pp. 197\u2013205. ACM (2018)","DOI":"10.1145\/3209219.3209236"},{"key":"8_CR3","doi-asserted-by":"crossref","unstructured":"Johnson, A.E.W., Pollard, T.J., Shen, L., Lehman, L.-w.H., Feng, M., Ghassemi, M., Moody, B., Szolovits, P., Anthony Celi, L., Mark, R.G.: MIMIC-III, a freely accessible critical care database. Scientific Data 3, 160035 (2016)","DOI":"10.1038\/sdata.2016.35"},{"key":"8_CR4","unstructured":"Lovelace, J., Hurley, N.C., Haimovich, A.D., Mortazavi, B.J.: Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention. In: Finale, D.-V., Jim, F., Ken, J., David, K., Rajesh, R., Byron, W., Jenna, W. (eds.) Proceedings of the 5th Machine Learning for Healthcare Conference, vol. 126, pp. 245--270. PMLR, Proceedings of Machine Learning Research (2020)"},{"key":"8_CR5","first-page":"3371","volume":"11","author":"P Vincent","year":"2010","unstructured":"Vincent, P., Larochelle, H., Lajoie, I., Bengio, Y., Manzagol, P.-A.: Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion. JMLR 11, 3371\u20133408 (2010)","journal-title":"JMLR"},{"key":"8_CR6","unstructured":"Kingma, D.P., Welling, M.: Auto-Encoding Variational Bayes. CoRR abs\/1312.6114, (2013)"},{"key":"8_CR7","unstructured":"Makhzani, A., Shlens, J., Jaitly, N., Goodfellow, I., Frey, B.: Adversarial Autoencoders. pp. arXiv:1511.05644 (2015)"},{"key":"8_CR8","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1186\/s12911-021-01426-9","volume":"21","author":"W Bao","year":"2021","unstructured":"Bao, W., Lin, H., Zhang, Y., Wang, J., Zhang, S.: Medical code prediction via capsule networks and ICD knowledge. BMC Med. Inform. Decis. Mak. 21, 55 (2021)","journal-title":"BMC Med. Inform. Decis. Mak."},{"key":"8_CR9","unstructured":"Xu, K., Lam, M., Pang, J., Gao, X., Band, C., Mathur, P., Papay, F., Khanna, A.K., Cywinski, J.B., Maheshwari, K., Xie, P., Xing, E.P.: Multimodal Machine Learning for Automated ICD Coding. In: Finale, D.-V., Jim, F., Ken, J., David, K., Rajesh, R., Byron, W., Jenna, W. (eds.) Proceedings of the 4th Machine Learning for Healthcare Conference, vol. 106, pp. 197--215. Cambridge MA: JMLR, Ann Arbor, Michigan (2019)"},{"key":"8_CR10","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long Short-Term Memory. Neural Comput. 9, 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"8_CR11","unstructured":"Kazemi, S.M., Goel, R., Eghbali, S., Ramanan, J., Sahota, J., Thakur, S., Wu, S., Smyth, C., Poupart, P., Brubaker, M.A.: Time2Vec: Learning a Vector Representation of Time. CoRR abs\/1907.05321, (2019)"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-34344-5_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T13:40:41Z","timestamp":1709818841000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-34344-5_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031343438","9783031343445"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-34344-5_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"5 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIME","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence in Medicine","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portoroz","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Slovenia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 June 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 June 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aime2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.aimedicine.info\/aime23\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EASY CHAIR","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"108","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"23","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"24","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"21% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3 (+ 1 meta-review)","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3 (demonstration papers, similar to short papers)","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}