{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T16:41:00Z","timestamp":1760892060760,"version":"build-2065373602"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031822247"},{"type":"electronic","value":"9783031822254"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T00:00:00Z","timestamp":1743120000000},"content-version":"vor","delay-in-days":86,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:p>Analogy-based reasoning is often employed in the treatment of hospitalized patients, especially when clinical guidelines or robust evidence bases are unavailable. This approach is based on the assumption that similar patients respond similarly to comparable treatments. Traditionally, this reasoning has relied on the memory and experience of physicians. However, the complexity of managing patient data\u2014such as treatment sequences and responses\u2014presents significant challenges without technological support. In particular, the procedural perspective of comparing patients is especially demanding. To address these challenges, we introduce the MAPI framework, an innovative approach for analogy-based, process-oriented search within patient data. This framework systematically manages treatment data, defines precise similarity measures, and retrieves comparable patient cases using case-based reasoning (CBR). By integrating analogy-based reasoning, MAPI enhances decision-making and improves the explainability of treatment choices, offering a more reliable and transparent tool for clinical practice.<\/jats:p>","DOI":"10.1007\/978-3-031-82225-4_33","type":"book-chapter","created":{"date-parts":[[2025,3,30]],"date-time":"2025-03-30T03:00:50Z","timestamp":1743303650000},"page":"447-459","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Research Paper: Enhancing Healthcare Decision-Making with Analogy-Based Reasoning"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7538-1248","authenticated-orcid":false,"given":"Joscha","family":"Gr\u00fcger","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3242-1251","authenticated-orcid":false,"given":"Martin","family":"Kuhn","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-5002-4948","authenticated-orcid":false,"given":"Karim","family":"Amri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5515-7158","authenticated-orcid":false,"given":"Ralph","family":"Bergmann","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,3,28]]},"reference":[{"key":"33_CR1","doi-asserted-by":"crossref","unstructured":"van\u00a0der Aalst, W.M.P.: Data Science in Action. Springer (2016)","DOI":"10.1007\/978-3-662-49851-4_1"},{"key":"33_CR2","unstructured":"Alsaidi, S., et\u00a0al.: An analogy based framework for patient-stay identification in healthcare. In: ATA@ICCBR 2022 - Workshop Analogies: From Theory to Applications. Nancy, France (2022)"},{"key":"33_CR3","doi-asserted-by":"crossref","unstructured":"Bergmann, R.: Experience Management - Experience Management. Springer, Berlin, Heidelberg (January 2002)","DOI":"10.1007\/3-540-45759-3"},{"key":"33_CR4","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.is.2012.07.005","volume":"40","author":"R Bergmann","year":"2014","unstructured":"Bergmann, R., Gil, Y.: Similarity assessment and efficient retrieval of semantic workflows. Inf. Syst. 40, 115\u2013127 (2014)","journal-title":"Inf. Syst."},{"key":"33_CR5","unstructured":"Bergmann, R., Grumbach, L., Malburg, L., Zeyen, C.: ProCAKE: a process-oriented case-based reasoning framework. In: 27th ICCBR Workshop Proceedings, vol.\u00a02567, pp. 156\u2013161. CEUR-WS.org (2019)"},{"key":"33_CR6","doi-asserted-by":"crossref","unstructured":"Choudhury, N., Begum, S.: A survey on case-based reasoning in medicine. Int. J. Adv. Comput. Sci. Appl. 7 (2016)","DOI":"10.14569\/IJACSA.2016.070820"},{"key":"33_CR7","unstructured":"Gr\u00fcger, J., Bergmann, R., Kazik, Y., Kuhn, M.: Process mining for case acquisition in oncology: a systematic literature review. In: Proceedings of the Conference Lernen, Wissen, Daten, Analysen. CEUR Workshop Proceedings, vol.\u00a02738, pp. 162\u2013173. CEUR-WS.org (2020)"},{"key":"33_CR8","doi-asserted-by":"crossref","unstructured":"Gr\u00fcger, J., Geyer, T., Kuhn, M., Braun, S., Bergmann, R.: Verifying guideline compliance in clinical treatment using multi-perspective conformance checking: a case study. In: Process Mining Workshops, pp. 301\u2013313. Springer International Publishing, Cham (2022)","DOI":"10.1007\/978-3-030-98581-3_22"},{"key":"33_CR9","doi-asserted-by":"crossref","unstructured":"Guallart, N.: Analogical Reasoning in Clinical Practice, pp. 257\u2013273. Springer International Publishing, Cham (2014)","DOI":"10.1007\/978-3-319-06334-8_15"},{"key":"33_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2021.113494","volume":"143","author":"K Heinrich","year":"2021","unstructured":"Heinrich, K., Zschech, P., Janiesch, C., Bonin, M.: Process data properties matter: introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning. Decis. Support Syst. 143, 113494 (2021)","journal-title":"Decis. Support Syst."},{"issue":"3","key":"33_CR11","doi-asserted-by":"publisher","first-page":"685","DOI":"10.1007\/s12525-021-00475-2","volume":"31","author":"C Janiesch","year":"2021","unstructured":"Janiesch, C., Zschech, P., Heinrich, K.: Machine learning and deep learning. Electron. Mark. 31(3), 685\u2013695 (2021)","journal-title":"Electron. Mark."},{"key":"33_CR12","unstructured":"Jilg, D., Gr\u00fcger, J., Geyer, T., Bergmann, R.: DALG: the data aware event log generator. In: BPM 2023 - Demos & Resources. CEUR Workshop Proceedings, vol.\u00a03469, pp. 142\u2013146. CEUR-WS.org (2023)"},{"key":"33_CR13","unstructured":"Kolodner, J.: Improving human decision making through case-based decision aiding. AI Mag. 12, 52\u201368 (1991)"},{"key":"33_CR14","doi-asserted-by":"crossref","unstructured":"Malburg, L., Hoffmann, M., Trumm, S., Bergmann, R.: Improving similarity-based retrieval efficiency by using graphic processing units in case-based reasoning. In: Proceedings of the Thirty-Fourth International FLAIRS Conference (2021)","DOI":"10.32473\/flairs.v34i1.128345"},{"key":"33_CR15","unstructured":"Mannhardt, F., Blinde, D.: Analyzing the trajectories of patients with sepsis using process mining. In: Proceedings of the 29th International Conference on Advanced Information Systems Engineering (CAiSE 2017). CEUR Workshop Proceedings, vol.\u00a01859, pp. 72\u201380. CEUR-WS.org (2017)"},{"key":"33_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2022.103994","volume":"127","author":"J Munoz-Gama","year":"2022","unstructured":"Munoz-Gama, J., et al.: Process mining for healthcare: characteristics and challenges. J. Biomed. Inform. 127, 103994 (2022)","journal-title":"J. Biomed. Inform."},{"issue":"1","key":"33_CR17","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1109\/TASSP.1978.1163055","volume":"26","author":"H Sakoe","year":"1978","unstructured":"Sakoe, H., Chiba, S.: Dynamic programming algorithm optimization for spoken word recognition. IEEE Trans. Acoust. Speech Signal Process. 26(1), 43\u201349 (1978)","journal-title":"IEEE Trans. Acoust. Speech Signal Process."}],"container-title":["Lecture Notes in Business Information Processing","Process Mining Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-82225-4_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T16:05:36Z","timestamp":1760889936000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-82225-4_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031822247","9783031822254"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-82225-4_33","relation":{},"ISSN":["1865-1348","1865-1356"],"issn-type":[{"type":"print","value":"1865-1348"},{"type":"electronic","value":"1865-1356"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"28 March 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Process Mining","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lyngby","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Denmark","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":"14 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpm2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icpmconference.org\/2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}