Machine Learning for Healthcare Applications
暫譯: 醫療應用的機器學習

Mohanty, Sachi Nandan, Nalinipriya, G., Jena, Om Prakash

  • 出版商: Wiley
  • 出版日期: 2021-04-13
  • 售價: $7,900
  • 貴賓價: 9.5$7,505
  • 語言: 英文
  • 頁數: 416
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1119791812
  • ISBN-13: 9781119791812
  • 相關分類: Machine Learning
  • 海外代購書籍(需單獨結帳)

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商品描述

When considering the idea of using machine learning in healthcare, it is a Herculean task to present the entire gamut of information in the field of intelligent systems. It is, therefore the objective of this book to keep the presentation narrow and intensive. This approach is distinct from others in that it presents detailed computer simulations for all models presented with explanations of the program code. It includes unique and distinctive chapters on disease diagnosis, telemedicine, medical imaging, smart health monitoring, social media healthcare, and machine learning for COVID-19. These chapters help develop a clear understanding of the working of an algorithm while strengthening logical thinking. In this environment, answering a single question may require accessing several data sources and calling on sophisticated analysis tools. While data integration is a dynamic research area in the database community, the specific needs of research have led to the development of numerous middleware systems that provide seamless data access in a result-driven environment.

Since this book is intended to be useful to a wide audience, students, researchers and scientists from both academia and industry may all benefit from this material. It contains a comprehensive description of issues for healthcare data management and an overview of existing systems, making it appropriate for introductory and instructional purposes. Prerequisites are minimal; the readers are expected to have basic knowledge of machine learning.

This book is divided into 22 real-time innovative chapters which provide a variety of application examples in different domains. These chapters illustrate why traditional approaches often fail to meet customers' needs. The presented approaches provide a comprehensive overview of current technology. Each of these chapters, which are written by the main inventors of the presented systems, specifies requirements and provides a description of both the chosen approach and its implementation. Because of the self-contained nature of these chapters, they may be read in any order. Each of the chapters use various technical terms which involve expertise in machine learning and computer science.

商品描述(中文翻譯)

當考慮在醫療保健中使用機器學習的想法時,呈現智能系統領域的所有資訊是一項艱鉅的任務。因此,本書的目標是保持內容的狹窄和深入。這種方法與其他方法的不同之處在於,它為所有呈現的模型提供詳細的計算機模擬,並附有程式碼的解釋。書中包括獨特且具特色的章節,涵蓋疾病診斷、遠程醫療、醫學影像、智能健康監測、社交媒體醫療保健以及針對 COVID-19 的機器學習。這些章節有助於清晰理解算法的運作,同時增強邏輯思維。在這種環境中,回答一個問題可能需要訪問多個數據來源並調用複雜的分析工具。儘管數據整合在數據庫社群中是一個動態的研究領域,但研究的具體需求促使開發了許多中介軟體系統,以在以結果為導向的環境中提供無縫的數據訪問。

由於本書旨在對廣泛的讀者群體有用,學生、研究人員和來自學術界及業界的科學家都可以從這些材料中受益。書中對醫療數據管理問題進行了全面的描述,並概述了現有系統,使其適合用於入門和教學目的。先備知識要求最低;讀者預期具備基本的機器學習知識。

本書分為22個即時創新的章節,提供不同領域的各種應用範例。這些章節說明了為什麼傳統方法往往無法滿足客戶的需求。所呈現的方法提供了當前技術的全面概述。這些章節由所呈現系統的主要發明者撰寫,具體說明了需求並提供所選方法及其實施的描述。由於這些章節的自包含特性,可以按任意順序閱讀。每個章節使用了各種技術術語,涉及機器學習和計算機科學的專業知識。

作者簡介

Sachi Nandan Mohanty, received his PhD from IIT Kharagpur in 2015. He has recently joined as an associate professor in the Department of Computer Science & Engineering at ICFAI Foundation for Higher Education Hyderabad. His research areas include data mining, big data analysis, cognitive science, fuzzy decision making, brain-computer interface, and computational intelligence. He has published 20 SCI journal articles and has authored/edited 7 books.

G. Nalinipriya is a professor in the Information Technology, Anna University, Chennai where she also obtained her PhD. She has more than 23 years of experience in the field of teaching, industry and research and her interests include artificial intelligence, machine learning, data science and cloud security.

Om Prakash Jena is an assistant professor in the Department of Computer Science, Ravenshaw University, Cuttack, Odisha. He has 10 years of teaching and research experience and has published several technical papers in international journals/conferences/edited book chapters of reputed publications. His current research interests include pattern recognition, cryptography, network security, soft computing, data analytics and machine automation.

Achyuth Sarkar received his PhD in Computer Science and Engineering 2019 from the National Institute of Technology Arunachal Pradesh in 2019. He has teaching experience of more than 10 years.

作者簡介(中文翻譯)

Sachi Nandan Mohanty於2015年獲得IIT Kharagpur的博士學位。他最近加入了海得拉巴ICFAI高等教育基金會計算機科學與工程系,擔任副教授。他的研究領域包括資料探勘、大數據分析、認知科學、模糊決策、腦機介面和計算智能。他已發表20篇SCI期刊文章,並編著/編輯了7本書籍。

G. Nalinipriya是印度金奈安娜大學資訊科技系的教授,並在該校獲得博士學位。她在教學、產業和研究領域擁有超過23年的經驗,研究興趣包括人工智慧、機器學習、資料科學和雲端安全。

Om Prakash Jena是奧里薩邦卡塔克的Ravenshaw大學計算機科學系的助理教授。他擁有10年的教學和研究經驗,並在國際期刊/會議/知名出版物的編輯書章中發表了多篇技術論文。他目前的研究興趣包括模式識別、密碼學、網路安全、軟計算、資料分析和機器自動化。

Achyuth Sarkar於2019年在阿魯納恰爾邦國立技術學院獲得計算機科學與工程博士學位。他擁有超過10年的教學經驗。