Machine learning for multimodal healthcare data : first International Workshop, ML4MHD 2023, Honolulu, Hawaii, USA, July 29, 2023, Proceedings / Andreas K. Maier, Julia A. Schnabel, Pallavi Tiwari, Oliver Stegle, editors.
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...
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| Online Access: |
Full Text (via Springer) |
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| Corporate Author: | |
| Other Authors: | , , , |
| Other title: | ML4MHD 2023 |
| Format: | Conference Proceeding eBook |
| Language: | English |
| Published: |
Cham :
Springer,
[2024]
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| Series: | Lecture notes in computer science ;
14315. |
| Subjects: |
| Summary: | 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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| Item Description: | Includes author index. |
| Physical Description: | 1 online resource (x, 190 pages) : illustrations (some color). |
| ISBN: | 9783031476792 3031476794 |
| ISSN: | 1611-3349 ; |
| Source of Description, Etc. Note: | Online resource; title from PDF title page (SpringerLink, viewed November 29, 2023). |