{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T05:47:34Z","timestamp":1761976054625,"version":"3.40.3"},"publisher-location":"Cham","reference-count":10,"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_15","type":"book-chapter","created":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T23:03:59Z","timestamp":1685919839000},"page":"120-124","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Batch Integrated Gradients: Explanations for\u00a0Temporal Electronic Health Records"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8837-7843","authenticated-orcid":false,"given":"Jamie","family":"Duell","sequence":"first","affiliation":[]},{"given":"Xiuyi","family":"Fan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4373-8203","authenticated-orcid":false,"given":"Hsuan","family":"Fu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2226-386X","authenticated-orcid":false,"given":"Monika","family":"Seisenberger","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,6,5]]},"reference":[{"key":"15_CR1","doi-asserted-by":"crossref","unstructured":"Amann, J., Blasimme, A., Vayena, E., Frey, D., Madai, V.I.: Explainability for artificial intelligence in healthcare: a multidisciplinary perspective. BMC Med. Inf. Decis. Making 20(1), 310 (2020)","DOI":"10.1186\/s12911-020-01332-6"},{"key":"15_CR2","doi-asserted-by":"publisher","unstructured":"Batal, I., Valizadegan, H., Cooper, G.F., Hauskrecht, M.: A temporal pattern mining approach for classifying electronic health record data. ACM Trans. Intell. Syst. Technol. 4(4), 2508044 (2013). https:\/\/doi.org\/10.1145\/2508037.2508044","DOI":"10.1145\/2508037.2508044"},{"key":"15_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2022.107161","volume":"226","author":"HW Loh","year":"2022","unstructured":"Loh, H.W., Ooi, C.P., Seoni, S., Barua, P.D., Molinari, F., Acharya, U.R.: Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011\u20132022). Comput. Methods Programs Biomed. 226, 107161 (2022)","journal-title":"Comput. Methods Programs Biomed."},{"key":"15_CR4","unstructured":"Lundberg, S.M., Lee, S.: A unified approach to interpreting model predictions. In: Advances in NeurIPS 30: Annual Conference on NeurIPS, pp. 4765\u20134774 (2017)"},{"key":"15_CR5","doi-asserted-by":"crossref","unstructured":"Ribeiro, M.T., Singh, S., Guestrin, C.: \u201cWhy should I trust you?\u201d: Explaining the predictions of any classifier. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1135\u20131144. KDD 2016, Association for Computing Machinery, New York, NY, USA (2016)","DOI":"10.1145\/2939672.2939778"},{"key":"15_CR6","doi-asserted-by":"publisher","unstructured":"Schlegel, U., Arnout, H., El-Assady, M., Oelke, D., Keim, D.A.: Towards a rigorous evaluation of XAI methods on time series. In: 2019 IEEE\/CVF International Conference on Computer Vision Workshop (ICCVW), pp. 4197\u20134201 (2019). https:\/\/doi.org\/10.1109\/ICCVW.2019.00516","DOI":"10.1109\/ICCVW.2019.00516"},{"key":"15_CR7","doi-asserted-by":"crossref","unstructured":"Selbst, A.D., Powles, J.: Meaningful information and the right to explanation. Int. Data Priv. Law 7(4), 233\u2013242 (2017)","DOI":"10.1093\/idpl\/ipx022"},{"key":"15_CR8","unstructured":"Simic, I., Sabol, V., Veas, E.E.: XAI methods for neural time series classification: a brief review. CoRR abs\/2108.08009 (2021). https:\/\/arxiv.org\/abs\/2108.08009"},{"key":"15_CR9","unstructured":"Sundararajan, M., Taly, A., Yan, Q.: Axiomatic attribution for deep networks. In: ICML2017: Proceedings of the 34th International Conference on Machine Learning, pp. 3319\u20133328. JMLR.org (2017)"},{"key":"15_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocs.2021.101539","volume":"58","author":"M Veerappa","year":"2022","unstructured":"Veerappa, M., Anneken, M., Burkart, N., Huber, M.F.: Validation of XAI explanations for multivariate time series classification in the maritime domain. J. Comput. Sci. 58, 101539 (2022). https:\/\/doi.org\/10.1016\/j.jocs.2021.101539","journal-title":"J. Comput. Sci."}],"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_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T13:41:25Z","timestamp":1709818885000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-34344-5_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031343438","9783031343445"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-34344-5_15","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)"}}]}}