02859nam a22005295i 4500 978-3-031-47679-2 DE-He213 20251030110839.0 cr nn 008mamaa 231125s2024 sz | s |||| 0|eng d 9783031476792 978-3-031-47679-2 10.1007/978-3-031-47679-2 doi R858-859.7 MBG bicssc UB bicssc MED117000 bisacsh UXT thema Machine Learning for Multimodal Healthcare Data [electronic resource] : First International Workshop, ML4MHD 2023, Honolulu, Hawaii, USA, July 29, 2023, Proceedings / edited by Andreas K. Maier, Julia A. Schnabel, Pallavi Tiwari, Oliver Stegle. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. X, 190 p. 44 illus., 38 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Computer Science, 1611-3349 ; 14315 This book constitutes the proceedings of the First International Workshop on Machine Learning for Multimodal Healthcare Date, ML4MHD 2023, held in Honolulu, Hawaii, USA, in July 2023. The 18 full papers presented were carefully reviewed and selected from 30 submissions. The workshop's primary objective was to bring together experts from diverse fields such as medicine, pathology, biology, and machine learning. With the aim to present novel methods and solutions that address healthcare challenges, especially those that arise from the complexity and heterogeneity of patient data. Medical informatics. 60693 Health Informatics. Maier, Andreas K. editor. (orcid)0000-0002-9550-5284 https://orcid.org/0000-0002-9550-5284 edt http://id.loc.gov/vocabulary/relators/edt 67548 Schnabel, Julia A. editor. edt http://id.loc.gov/vocabulary/relators/edt 67549 Tiwari, Pallavi. editor. edt http://id.loc.gov/vocabulary/relators/edt 67550 Stegle, Oliver. editor. edt http://id.loc.gov/vocabulary/relators/edt 67551 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031476785 Printed edition: 9783031476808 Lecture Notes in Computer Science, 1611-3349 ; 14315 https://doi.org/10.1007/978-3-031-47679-2 ZDB-2-SCS ZDB-2-SXCS ZDB-2-LNC 56633 56633