Machine Learning for Multimodal Healthcare Data: First International Workshop, ML4MHD 2023, Honolulu, Hawaii, USA, July 29, 2023, Proceedings (Lecture Notes in Computer Science)
ISBN 10: 3031476786 ISBN 13: 9783031476785
Editore: Springer, 2023
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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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Titolo: Machine Learning for Multimodal Healthcare ...
Casa editrice: Springer
Data di pubblicazione: 2023
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Machine Learning for Multimodal Healthcare Data
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Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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. Codice articolo 42806535/2
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Machine Learning for Multimodal Healthcare Data
Da: Buchpark, Trebbin, Germania
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Condizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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. Codice articolo 42806535/1
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Machine Learning for Multimodal Healthcare Data
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Springer Nature Switzerland, 2023
ISBN 10: 3031476786
ISBN 13: 9783031476785
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 a. Codice articolo 1139436850
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Machine Learning for Multimodal Healthcare Data | First International Workshop, ML4MHD 2023, Honolulu, Hawaii, USA, July 29, 2023, Proceedings
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Taschenbuch. Condizione: Neu. Machine Learning for Multimodal Healthcare Data | First International Workshop, ML4MHD 2023, Honolulu, Hawaii, USA, July 29, 2023, Proceedings | Andreas K. Maier (u. a.) | Taschenbuch | x | Englisch | 2023 | Springer | EAN 9783031476785 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Codice articolo 127803442
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Machine Learning for Multimodal Healthcare Data : First International Workshop, ML4MHD 2023, Honolulu, Hawaii, USA, July 29, 2023, Proceedings
ISBN 10: 3031476786
ISBN 13: 9783031476785
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Codice articolo 9783031476785
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Machine Learning for Multimodal Healthcare Data
ISBN 10: 3031476786
ISBN 13: 9783031476785
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Taschenbuch. Condizione: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 200 pp. Englisch. Codice articolo 9783031476785
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Machine Learning for Multimodal Healthcare Data
ISBN 10: 3031476786
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 200 pp. Englisch. Codice articolo 9783031476785
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Machine Learning for Multimodal Healthcare Data: First International Workshop, ML4MHD 2023, Honolulu, Hawaii, USA, July 29, 2023, Proceedings (Lecture Notes in Computer Science)
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Condizione: New. Codice articolo I-9783031476785
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Machine Learning for Multimodal Healthcare Data: First International Workshop, Ml4mhd 2023, Honolulu, Hawaii, USA, July 29, 2023, Proceedings
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Paperback. Condizione: Brand New. 200 pages. 9.26x6.10x0.43 inches. In Stock. Codice articolo x-3031476786
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