Machine Learning for Multimodal Healthcare Data First International Workshop, ML4MHD 2023, Honolulu, Hawaii, USA, July 29, 2023, Proceedings / [electronic resource] :
edited by Andreas K. Maier, Julia A. Schnabel, Pallavi Tiwari, Oliver Stegle.
- 1st ed. 2024.
- X, 190 p. 44 illus., 38 illus. in color. online resource.
- Lecture Notes in Computer Science, 14315 1611-3349 ; .
- Lecture Notes in Computer Science, 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.
9783031476792
10.1007/978-3-031-47679-2 doi
Medical informatics.
Health Informatics.
R858-859.7
610,285
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.
9783031476792
10.1007/978-3-031-47679-2 doi
Medical informatics.
Health Informatics.
R858-859.7
610,285