Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics: Concepts, Methodologies, Tools and Applications
暫譯: 生物醫學與健康資訊學中的大數據分析與機器智慧:概念、方法論、工具與應用

Dhal, Sunil Kumar, Pani, Subhendu Kumar, Prasad, Srinivas

  • 出版商: Wiley-Scrivener
  • 出版日期: 2022-06-28
  • 售價: $7,310
  • 貴賓價: 9.5$6,945
  • 語言: 英文
  • 頁數: 352
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1119791731
  • ISBN-13: 9781119791737
  • 相關分類: Data-miningMachine LearningMaker
  • 無法訂購

商品描述

BIG DATA ANALYTICS AND MACHINE INTELLIGENCE IN BIOMEDICAL AND HEALTH INFORMATICS

Provides coverage of developments and state-of-the-art methods in the broad and diversified data analytics field and applicable areas such as big data analytics, data mining, and machine intelligence in biomedical and health informatics.

The novel applications of Big Data Analytics and machine intelligence in the biomedical and healthcare sector is an emerging field comprising computer science, medicine, biology, natural environmental engineering, and pattern recognition. Biomedical and health informatics is a new era that brings tremendous opportunities and challenges due to the plentifully available biomedical data and the aim is to ensure high-quality and efficient healthcare by analyzing the data.

The 12 chapters in Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics cover the latest advances and developments in health informatics, data mining, machine learning, and artificial intelligence. They have been organized with respect to the similarity of topics addressed, ranging from issues pertaining to the Internet of Things (IoT) for biomedical engineering and health informatics, computational intelligence for medical data processing, and Internet of Medical Things (IoMT).

New researchers and practitioners working in the field will benefit from reading the book as they can quickly ascertain the best performing methods and compare the different approaches.

Audience

Researchers and practitioners working in the fields of biomedicine, health informatics, big data analytics, Internet of Things, and machine learning.

商品描述(中文翻譯)

生物醫學與健康資訊學中的大數據分析與機器智慧

本書涵蓋了廣泛且多樣化的數據分析領域的發展及最先進的方法,並適用於大數據分析、數據挖掘及生物醫學與健康資訊學中的機器智慧等相關領域。

大數據分析和機器智慧在生物醫學和醫療保健領域的創新應用是一個新興領域,涵蓋了計算機科學、醫學、生物學、自然環境工程和模式識別。生物醫學與健康資訊學是一個新時代,因為大量可用的生物醫學數據帶來了巨大的機會和挑戰,目標是通過分析數據來確保高品質和高效率的醫療保健。

《生物醫學與健康資訊學中的大數據分析與機器智慧》一書的12章涵蓋了健康資訊學、數據挖掘、機器學習和人工智慧的最新進展和發展。這些章節根據所討論主題的相似性進行組織,範圍包括與生物醫學工程和健康資訊學相關的物聯網(IoT)問題、醫療數據處理的計算智慧,以及醫療物聯網(IoMT)。

在該領域工作的新研究者和從業者將從閱讀本書中受益,因為他們可以迅速了解最佳表現的方法並比較不同的做法。

讀者對象

在生物醫學、健康資訊學、大數據分析、物聯網和機器學習領域工作的研究者和從業者。

作者簡介

Sunil Kumar Dhal, PhD, is a computer scientist and is Head of Department and professor in the Faculty of Management, Sri Sri University, India. He has more than 20 years of teaching experience with more than 60 international publications including eight books and two patents.

Subhendu Kumar Pani, PhD, is a professor in the Department of Computer Science & Engineering, Orissa Engineering College (OEC) Bhubaneswar, India. He has more than 15 years of teaching and research experience and has published more than 50 international journal articles as well as five authored books, 12 edited books, and eight patents.

Srinivas Prasad, PhD, is a professor in the Department of Computer Science and Engineering at GITAM University, Visakhapatnam, India. He has more than 20 years of teaching experience and published more than 60 publications which include journal articles, conference papers, edited volumes, and book chapters.

Sudhir Kumar Mohapatra, PhD, is an associate professor at Addis Ababa Science & Technology University, Addis Ababa, Ethiopia. Besides 10 years of teaching and research, he spent five years in software development in the banking and education domains.

作者簡介(中文翻譯)

Sunil Kumar Dhal, PhD, 是一位計算機科學家,擔任印度 Sri Sri University 管理學院的系主任及教授。他擁有超過 20 年的教學經驗,並發表了超過 60 篇國際論文,包括八本書籍和兩項專利。

Subhendu Kumar Pani, PhD, 是印度 Bhubaneswar 的 Orissa Engineering College (OEC) 計算機科學與工程系的教授。他擁有超過 15 年的教學和研究經驗,發表了超過 50 篇國際期刊文章,以及五本著作、12 本編輯書籍和八項專利。

Srinivas Prasad, PhD, 是印度 Visakhapatnam 的 GITAM University 計算機科學與工程系的教授。他擁有超過 20 年的教學經驗,並發表了超過 60 篇出版物,包括期刊文章、會議論文、編輯卷和書籍章節。

Sudhir Kumar Mohapatra, PhD, 是埃塞俄比亞亞的斯亞貝巴科技大學的副教授。除了 10 年的教學和研究經驗外,他還在銀行和教育領域的軟體開發中工作了五年。