Healthcare Data Analytics (Hardcover)

Chandan K. Reddy, Charu C. Aggarwal

  • 出版商: CRC
  • 出版日期: 2015-06-23
  • 售價: $3,600
  • 貴賓價: 9.5$3,420
  • 語言: 英文
  • 頁數: 760
  • 裝訂: Hardcover
  • ISBN: 1482232111
  • ISBN-13: 9781482232110
  • 相關分類: Data Science
  • 立即出貨 (庫存=1)

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商品描述

At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available to solve healthcare problems.

The book details novel techniques for acquiring, handling, retrieving, and making best use of healthcare data. It analyzes recent developments in healthcare computing and discusses emerging technologies that can help improve the health and well-being of patients.

Written by prominent researchers and experts working in the healthcare domain, the book sheds light on many of the computational challenges in the field of medical informatics. Each chapter in the book is structured as a "survey-style" article discussing the prominent research issues and the advances made on that research topic. The book is divided into three major categories:

  • Healthcare Data Sources and Basic Analytics - details the various healthcare data sources and analytical techniques used in the processing and analysis of such data
  • Advanced Data Analytics for Healthcare - covers advanced analytical methods, including clinical prediction models, temporal pattern mining methods, and visual analytics
  • Applications and Practical Systems for Healthcare - covers the applications of data analytics to pervasive healthcare, fraud detection, and drug discovery along with systems for medical imaging and decision support

Computer scientists are usually not trained in domain-specific medical concepts, whereas medical practitioners and researchers have limited exposure to the data analytics area. The contents of this book will help to bring together these diverse communities by carefully and comprehensively discussing the most relevant contributions from each domain.

商品描述(中文翻譯)

在計算機科學和醫療保健的交叉領域中,數據分析已成為解決許多與醫療保健相關學科的問題的有希望的工具。《醫療保健數據分析》提供了對當前可用於解決醫療保健問題的分析技術的清晰理解,並提供了對最近的醫療保健數據分析研究的全面概述。

該書詳細介紹了獲取、處理、檢索和充分利用醫療保健數據的新技術。它分析了醫療保健計算的最新發展,並討論了可以幫助改善患者健康和福祉的新興技術。

本書由在醫療領域工作的知名研究人員和專家撰寫,闡明了醫學信息學領域中的許多計算挑戰。書中的每一章都以“調查風格”的文章結構,討論了突出的研究問題和在該研究主題上取得的進展。本書分為三個主要類別:

- 醫療保健數據來源和基本分析:詳細介紹了各種醫療保健數據來源和用於處理和分析此類數據的分析技術。
- 醫療保健的高級數據分析:包括臨床預測模型、時間模式挖掘方法和視覺分析等高級分析方法。
- 醫療保健的應用和實用系統:涵蓋了將數據分析應用於普遍醫療保健、詐騙檢測和藥物發現,以及醫學影像和決策支持系統。

計算機科學家通常沒有接受特定領域醫學概念的培訓,而醫療從業人員和研究人員對數據分析領域的接觸有限。本書的內容將有助於通過仔細且全面地討論每個領域的最相關貢獻,將這些不同的社群聚集在一起。