Machine Learning for Multimodal Healthcare Data: First International Workshop, ML4MHD 2023, Honolulu,...

— —

Andreas K. Maier Julia A. Schnabel

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

$125.95 $100.80

Paperback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Springer International Publishing AG
26 November 2023

Computer aided manufacture (CAM); Computing: general; Machine learning

Series: Lecture Notes in Computer Science

Summary
Details

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.

Edited by: Andreas K. Maier, Julia A. Schnabel, Pallavi Tiwari, Oliver Stegle
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: 1st ed. 2024
Volume: 14315
Dimensions: Height: 235mm, Width: 155mm,
Weight: 314g
ISBN: 9783031476785
ISBN 10: 3031476786
Series: Lecture Notes in Computer Science
Pages: 190
Publication Date: 26 November 2023
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active