{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T14:58:15Z","timestamp":1763564295380,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"print","value":"9781643683881"},{"type":"electronic","value":"9781643683898"}],"license":[{"start":{"date-parts":[[2023,5,18]],"date-time":"2023-05-18T00:00:00Z","timestamp":1684368000000},"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":[[2023,5,18]]},"abstract":"<jats:p>Transfer Learning (TL) is an approach which has not yet been widely investigated in healthcare, mostly applied in image data. This study outlines a TL pipeline leveraging Individual Case Safety reports (ICSRs) and Electronic Health Records (EHR), applied for the early detection Adverse Drug Reactions (ADR), evaluated using of alopecia and docetaxel on breast cancer patients as use case.<\/jats:p>","DOI":"10.3233\/shti230158","type":"book-chapter","created":{"date-parts":[[2023,5,19]],"date-time":"2023-05-19T04:44:43Z","timestamp":1684471483000},"source":"Crossref","is-referenced-by-count":1,"title":["Transfer Learning for Early Prediction of Adverse Drug Reactions: Docetaxel and Alopecia in Breast Cancer as a Case Study"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6356-9531","authenticated-orcid":false,"given":"Stella","family":"Dimitsaki","sequence":"first","affiliation":[{"name":"Sorbonne Universit\u00e9, INSERM, Univ Paris 13, Laboratoire d\u2019Informatique M\u00e9dicale et d\u2019Ing\u00e9nierie des Connaissances pour la eSant\u00e9, LIMICS, F-75006 Paris, France"},{"name":"Institute of Applied Biosciences, Centre for Research and Development Hellas, Thessaloniki, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4061-9815","authenticated-orcid":false,"given":"Pantelis","family":"Natsiavas","sequence":"additional","affiliation":[{"name":"Institute of Applied Biosciences, Centre for Research and Development Hellas, Thessaloniki, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4445-7494","authenticated-orcid":false,"given":"Marie-Christine","family":"Jaulent","sequence":"additional","affiliation":[{"name":"Sorbonne Universit\u00e9, INSERM, Univ Paris 13, Laboratoire d\u2019Informatique M\u00e9dicale et d\u2019Ing\u00e9nierie des Connaissances pour la eSant\u00e9, LIMICS, F-75006 Paris, France"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Caring is Sharing \u2013 Exploiting the Value in Data for Health and Innovation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI230158","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,31]],"date-time":"2023-05-31T10:58:06Z","timestamp":1685530686000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI230158"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,18]]},"ISBN":["9781643683881","9781643683898"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti230158","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2023,5,18]]}}}