Explainable Machine Learning in Medicine

個数:1
紙書籍版価格
¥20,018
  • 電子書籍
  • ポイントキャンペーン

Explainable Machine Learning in Medicine

  • 著者名:Przystalski, Karol/Thanki, Rohit M.
  • 価格 ¥16,189 (本体¥14,718)
  • Springer(2023/11/26発売)
  • 春うらら!Kinoppy 電子書籍・電子洋書 全点ポイント30倍キャンペーン(~3/15)
  • ポイント 4,410pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9783031448768
  • eISBN:9783031448775

ファイル: /

Description

This book covers a variety of advanced communications technologies that can be used to analyze medical data and can be used to diagnose diseases in clinic centers. The book is a primer of methods for medicine, providing an overview of explainable artificial intelligence (AI) techniques that can be applied in different medical challenges. The authors discuss how to select and apply the proper technology depending on the provided data and the analysis desired. Because a variety of data can be used in the medical field, the book explains how to deal with challenges connected with each type. A number of scenarios are introduced that can happen in real-time environments, with each pared with a type of machine learning that can be used to solve it.

Table of Contents

1 Introduction.- 2 Medical Tabular Data.- 3 Natural Language Processing for Medical Data Analysis.- 4 Computer Vision for Medical Data Analysis.- 5 Time Series Data Used for Diseases Recognition and Anomaly Detection.- 6 Summary.

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