Große Auswahl an günstigen Büchern
Schnelle Lieferung per Post und DHL

Machine Learning for Multimodal Healthcare Data

Über Machine Learning for Multimodal Healthcare 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.

Mehr anzeigen
  • Sprache:
  • Englisch
  • ISBN:
  • 9783031476785
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 200
  • Veröffentlicht:
  • 26. November 2023
  • Ausgabe:
  • 23001
  • Abmessungen:
  • 155x12x235 mm.
  • Gewicht:
  • 312 g.
  Versandkostenfrei
  Sofort lieferbar

Beschreibung von Machine Learning for Multimodal Healthcare 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.

Kund*innenbewertungen von Machine Learning for Multimodal Healthcare Data



Ähnliche Bücher finden
Das Buch Machine Learning for Multimodal Healthcare Data ist in den folgenden Kategorien erhältlich:

Willkommen bei den Tales Buchfreunden und -freundinnen

Jetzt zum Newsletter anmelden und tolle Angebote und Anregungen für Ihre nächste Lektüre erhalten.