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{ "item_title" : "Explainable Machine Learning for Multimedia Based Healthcare Applications", "item_author" : [" M. Shamim Hossain", "Utku Kose", "Deepak Gupta "], "item_description" : "This book covers the latest research studies regarding Explainable Machine Learning used in multimedia-based healthcare applications. In this context, the content includes not only introductions for applied research efforts but also theoretical touches and discussions targeting open problems as well as future insights. In detail, a comprehensive topic coverage is ensured by focusing on remarkable healthcare problems solved with Artificial Intelligence. Because today's conditions in medical data processing are often associated with multimedia, the book considers research studies with especially multimedia data processing.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/138/035/3031380355_b.jpg", "price_data" : { "retail_price" : "199.99", "online_price" : "199.99", "our_price" : "199.99", "club_price" : "199.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Explainable Machine Learning for Multimedia Based Healthcare Applications|M. Shamim Hossain

Explainable Machine Learning for Multimedia Based Healthcare Applications

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Overview

This book covers the latest research studies regarding Explainable Machine Learning used in multimedia-based healthcare applications. In this context, the content includes not only introductions for applied research efforts but also theoretical touches and discussions targeting open problems as well as future insights. In detail, a comprehensive topic coverage is ensured by focusing on remarkable healthcare problems solved with Artificial Intelligence. Because today's conditions in medical data processing are often associated with multimedia, the book considers research studies with especially multimedia data processing.

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Details

  • ISBN-13: 9783031380358
  • ISBN-10: 3031380355
  • Publisher: Springer
  • Publish Date: September 2023
  • Dimensions: 9.21 x 6.14 x 0.63 inches
  • Shipping Weight: 1.16 pounds
  • Page Count: 233

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