Machine Learning for Multimodal Healthcare Data: First International Workshop, ML4MHD 2023, Honolulu, Hawaii, USA, July 29, 2023, Proceedings
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 o...
Gespeichert in:
| Weitere Verfasser: | , , , |
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| Dokumenttyp: | Konferenzschrift |
| Sprache: | Englisch |
| Veröffentlicht: |
Cham
Springer Nature Switzerland
2024
Cham Imprint: Springer 2024 |
| Ausgabe: | 1st ed. 2024 |
| Schriftenreihe: | Lecture Notes in Computer Science
14315 |
| DOI: | 10.1007/978-3-031-47679-2 |
| Online-Zugang: | Resolving-System, lizenzpflichtig: https://doi.org/10.1007/978-3-031-47679-2
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| Verfasserangaben: | edited by Andreas K. Maier, Julia A. Schnabel, Pallavi Tiwari, Oliver Stegle |
| Zusammenfassung: | 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. |
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| Beschreibung: | Online Resource |
| ISBN: | 9783031476792 |
| DOI: | 10.1007/978-3-031-47679-2 |