{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T04:34:23Z","timestamp":1780374863560,"version":"3.54.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685366","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,8,30]],"date-time":"2024-08-30T00:00:00Z","timestamp":1724976000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,8,30]]},"abstract":"<jats:p>Pancreatic cancer, renowned for its aggressive nature and poor prognosis, necessitates the optimization of treatment strategies. The sequence of procedures in clinical trials is critical, such as evaluating the potential benefits of preoperative chemo-radio-therapy for pancreatic cancer. Nevertheless, we might not be aware of other temporal sequences which have an effect on therapy response or the general outcome. Extracting transitive sequential patterns from patients\u2019 medical trajectories allows researchers to identify temporal characteristics for complex diseases. We illustrate how such sequential patterns can be discovered and might be utilized in pancreatic cancer research as well as patient care.<\/jats:p>","DOI":"10.3233\/shti240862","type":"book-chapter","created":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T09:11:43Z","timestamp":1725527503000},"source":"Crossref","is-referenced-by-count":1,"title":["A Concept for Mining Transitive Sequential Patterns from Pancreatic Cancer Patient Journeys"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4183-1287","authenticated-orcid":false,"given":"Jonas","family":"H\u00fcgel","sequence":"first","affiliation":[{"name":"University Medical Center G\u00f6ttingen, Department of Medical Informatics, Germany"},{"name":"University of G\u00f6ttingen, Campus Institute Data Science, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"name":"Clinical Research Unit 5002 (CRU 5002)","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jan Janosch","family":"Schneider","sequence":"additional","affiliation":[{"name":"University Medical Center G\u00f6ttingen, Department of Medical Informatics, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"Tran Ortega","sequence":"additional","affiliation":[{"name":"University Medical Center G\u00f6ttingen, Department of Medical Informatics, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ella Maria","family":"Jentsch","sequence":"additional","affiliation":[{"name":"University Medical Center G\u00f6ttingen, Department of Medical Informatics, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sophia","family":"Rheinl\u00e4nder","sequence":"additional","affiliation":[{"name":"University Medical Center G\u00f6ttingen, Department of Medical Informatics, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nils Hendrik","family":"Beyer","sequence":"additional","affiliation":[{"name":"University Medical Center G\u00f6ttingen, Department of Medical Informatics, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hossein","family":"Estiri","sequence":"additional","affiliation":[{"name":"Clinical Augmented Intelligence Group, Massachusetts General Hospital, Boston, MA, USA"},{"name":"Harvard Medical School, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christoph","family":"Ammer-Hermenau","sequence":"additional","affiliation":[{"name":"University Medical Center G\u00f6ttingen, Clinic for Gastroenterology, Gastrointestinal Oncology and Endocrinology, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elisabeth","family":"Hessmann","sequence":"additional","affiliation":[{"name":"University Medical Center G\u00f6ttingen, Clinic for Gastroenterology, Gastrointestinal Oncology and Endocrinology, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander Otto","family":"K\u00f6nig","sequence":"additional","affiliation":[{"name":"University Medical Center G\u00f6ttingen, Clinic for Gastroenterology, Gastrointestinal Oncology and Endocrinology, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Volker","family":"Ellenrieder","sequence":"additional","affiliation":[{"name":"University Medical Center G\u00f6ttingen, Clinic for Gastroenterology, Gastrointestinal Oncology and Endocrinology, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ulrich","family":"Sax","sequence":"additional","affiliation":[{"name":"University Medical Center G\u00f6ttingen, Department of Medical Informatics, Germany"},{"name":"University of G\u00f6ttingen, Campus Institute Data Science, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","German Medical Data Sciences 2024"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI240862","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T09:11:44Z","timestamp":1725527504000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI240862"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,30]]},"ISBN":["9781643685366"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti240862","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8,30]]}}}