Home
Machine Learning for Multimodal Healthcare Data: First International Workshop, ML4MHD 2023, Honolulu, Hawaii, USA, July 29, Proceedings
Barnes and Noble
Loading Inventory...
Machine Learning for Multimodal Healthcare Data: First International Workshop, ML4MHD 2023, Honolulu, Hawaii, USA, July 29, Proceedings in Bloomington, MN
Current price: $69.99
Machine Learning for Multimodal Healthcare Data: First International Workshop, ML4MHD 2023, Honolulu, Hawaii, USA, July 29, Proceedings in Bloomington, MN
Current price: $69.99
Loading Inventory...
Size: Paperback
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.
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.
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.
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.
Shop Similar Products
