Applied Machine Learning in Healthcare: Case-Based Approach
暫譯: 應用機器學習於醫療保健：案例導向方法

Takale, Dattatray G., N. Mahalle, Parikshit, Bere, Sachin S.

Applied Machine Learning in Healthcare: Case-Based Approach
  • 出版商: CRC
  • 出版日期: 2025-12-29
  • 售價: $7,160
  • 貴賓價: 9.5 折 $6,802
  • 語言: 英文
  • 頁數: 352
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032765941
  • ISBN-13: 9781032765945
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

商品描述

This book explores the latest advancements in machine learning techniques and their transformative applications in the healthcare domain. It delves into the use of machine learning for disease diagnosis and prognosis, showcasing its potential to enable accurate disease identification, effective risk stratification, and personalised treatment planning. The role of machine learning in enhancing clinical decision support systems (CDSS) is examined in detail, with a focus on its impact on informed decision-making, predictive modeling, and real-time patient monitoring.

  • Features real-world case studies and applications that demonstrate the practical use of machine learning in healthcare, including radiology, predictive analytics, personalised medicine, and resource optimisation.
  • Covers essential stages of data preprocessing and feature engineering for healthcare datasets, addressing challenges such as data cleaning, normalisation, dimensionality reduction, and feature selection.
  • Provides an in-depth overview of CDSS and the integration of machine learning algorithms to improve diagnostic accuracy and clinical workflow efficiency.
  • Explores machine learning-driven real-time monitoring and alert systems, underscoring their utility in promptly identifying and responding to critical medical events.
  • Discusses advances in medical image analysis, including segmentation, classification, and computer-aided diagnosis techniques.

This comprehensive volume serves as a valuable resource for researchers, clinicians, healthcare professionals, data scientists, and students seeking to understand and apply machine learning for improved healthcare outcomes.

商品描述(中文翻譯)

本書探討了機器學習技術的最新進展及其在醫療領域的變革性應用。它深入研究了機器學習在疾病診斷和預後中的使用，展示了其在準確識別疾病、有效風險分層和個性化治療計劃方面的潛力。本書詳細檢視了機器學習在增強臨床決策支持系統（CDSS）中的角色，重點關注其對知情決策、預測建模和即時病人監測的影響。

- 特別介紹了真實案例研究和應用，展示了機器學習在醫療中的實際使用，包括放射學、預測分析、個性化醫療和資源優化。
- 涵蓋了醫療數據集的數據預處理和特徵工程的基本階段，解決了數據清理、正規化、降維和特徵選擇等挑戰。
- 提供了CDSS的深入概述及機器學習算法的整合，以提高診斷準確性和臨床工作流程的效率。
- 探討了基於機器學習的即時監測和警報系統，強調其在及時識別和應對關鍵醫療事件中的實用性。
- 討論了醫學影像分析的進展，包括分割、分類和計算機輔助診斷技術。

這本綜合性著作是研究人員、臨床醫生、醫療專業人員、數據科學家和希望理解並應用機器學習以改善醫療結果的學生的重要資源。

作者簡介

Dattatray G. Takale is an assistant professor in the Department of Computer Engineering at Vishwakarma Institute of Information Technology, Pune, India. Dr. Takale earned his Ph.D. in computer science and engineering. He has over 12 years of teaching and research experience. His research interests include machine learning, data science, wireless sensor networks, natural language processing, data warehousing, mining, computer networks, and network security. He has more than 9 years of teaching experience and 3 years of industry experience. He has 80 patents, 100+ research publications, and has authored/edited 7+ books with reputed local and international publishers.

Parikshit N. Mahalle is a Senior Member of IEEE and currently serves as Professor and Dean of Academics at Vishwakarma Institute of Technology, Pune, India. He previously held roles as Head of the Department of Artificial Intelligence and Data Science at Vishwakarma Institute of Information Technology and as Professor and Head of Computer Engineering at Sinhgad Institutes. He earned his Ph.D. from Aalborg University, Denmark, and completed post-doctoral research at CMI, Copenhagen. With over 25 years of academic and research experience, Dr. Mahalle has guided 8 Ph.D. scholars (7 awarded) and mentored 3 postdoctoral researchers. He has authored or edited 72 books with international publishers. His scholarly output includes more than 430 publications, over 4000 Google Scholar citations (h-index 28), and 2200+ Scopus citations (h-index 21). Dr. Mahalle is the Editor-in-Chief of the Research Journal of Computer Systems and Engineering (RJCSE) and serves as Associate Editor and reviewer for several reputed journals and conferences. His research interests include machine learning, IoT, data science, identity management, and cybersecurity. He has delivered more than 400 invited talks at national and international forums and received prestigious honors including the IEEE ICTBIG 2024 Distinguished Research Guide Award, State Level Meritorious Teacher Award, and International Distinguished Researcher of the Year (S4DS, 2023). His textbook on Design and Analysis of Algorithms is adopted by IIITs and NITs, and his CRC Press book on pandemic data analysis has earned two international awards. In 2024, his edited volume Data Science: Techniques and Intelligent Applications received the Choice Outstanding Academic Titles Award. He is also an ISO 27001:2022 Certified Lead Auditor and has served as guest faculty at institutions including National Taipei University, Taiwan, and UMA, Peru.

Sachin S. Bere is an associate professor in the Dattakala Group of Institutions Faculty of Engineering Bhigwan. He completed his Ph.D. in Computer Science and Engineering from the SJJT University, Rajasthan. He also completed his MTech (CSE) with First Class & Distinction from a JNTU-Hyderabad-affiliated college. He has 18 years of teaching experience and 7 years of research experience. He published almost 30 research articles in reputed journals and conferences. His areas of interest are machine learning, artificial intelligence, deep learning techniques, and programming languages.

Piyush P. Gawali is an Assistant Professor in the Department of Computer Engineering at Vishwakarma Institute of Information Technology, Pune, India. Mr. Piyush Prabhat Gawali earned his M.E. in computer science and engineering and is pursuing a Ph.D. from Savitribai Phule Pune University. He has more than 16 years of teaching experience. His research interests include quantum computing, cybersecurity, medical cyber-physical systems, machine learning, and network security. He has more than 13 years of teaching experience and two years and six months of industry experience. He has 8 patents, 14+ research publications, and has authored/edited 2+ books with local and international publishers.

作者簡介(中文翻譯)

Dattatray G. Takale 是印度浦那維什瓦卡瑪資訊技術學院計算機工程系的助理教授。Takale 博士獲得計算機科學與工程的博士學位，擁有超過 12 年的教學和研究經驗。他的研究興趣包括機器學習、數據科學、無線感測器網絡、自然語言處理、數據倉儲、數據挖掘、計算機網絡和網絡安全。他擁有超過 9 年的教學經驗和 3 年的產業經驗，擁有 80 項專利、100 多篇研究出版物，並與知名的本地和國際出版社共同編著或編輯了 7 本以上的書籍。

Parikshit N. Mahalle 是 IEEE 的高級會員，目前擔任印度浦那維什瓦卡瑪技術學院的教授及學術院長。他曾擔任維什瓦卡瑪資訊技術學院人工智慧與數據科學系主任，以及辛哈戈德學院計算機工程系的教授和系主任。他在丹麥奧爾堡大學獲得博士學位，並在哥本哈根的 CMI 完成博士後研究。Mahalle 博士擁有超過 25 年的學術和研究經驗，指導了 8 位博士生（7 位獲得學位）並指導了 3 位博士後研究人員。他與國際出版社共同編著或編輯了 72 本書籍，學術成果包括超過 430 篇出版物、超過 4000 次 Google Scholar 引用（h-index 28）和 2200 多次 Scopus 引用（h-index 21）。Mahalle 博士是 Research Journal of Computer Systems and Engineering (RJCSE) 的主編，並擔任多個知名期刊和會議的副編輯及審稿人。他的研究興趣包括機器學習、物聯網、數據科學、身份管理和網絡安全。他在國內外論壇上發表了超過 400 場受邀演講，並獲得了包括 IEEE ICTBIG 2024 傑出研究指導獎、州級優秀教師獎和 2023 年國際傑出研究者獎（S4DS）等多項榮譽。他的《演算法設計與分析》教科書被 IIIT 和 NIT 採用，他在 CRC Press 出版的疫情數據分析書籍獲得了兩項國際獎項。在 2024 年，他編輯的專著 Data Science: Techniques and Intelligent Applications 獲得了 Choice Outstanding Academic Titles Award。他還是 ISO 27001:2022 認證的首席審核員，曾在包括台灣國立台北大學和秘魯 UMA 等機構擔任客座教授。

Sachin S. Bere 是 Dattakala Group of Institutions 工程學院的副教授。他在拉賈斯坦的 SJJT 大學獲得計算機科學與工程的博士學位，並在 JNTU-海德拉巴附屬學院以一級榮譽獲得 MTech (CSE) 學位。他擁有 18 年的教學經驗和 7 年的研究經驗，並在知名期刊和會議上發表了近 30 篇研究文章。他的研究領域包括機器學習、人工智慧、深度學習技術和程式語言。

Piyush P. Gawali 是印度浦那維什瓦卡瑪資訊技術學院計算機工程系的助理教授。Piyush Prabhat Gawali 先生獲得計算機科學與工程的碩士學位，並正在 Savitribai Phule Pune University 追求博士學位。他擁有超過 16 年的教學經驗，研究興趣包括量子計算、網絡安全、醫療網絡物理系統、機器學習和網絡安全。他擁有超過 13 年的教學經驗以及兩年六個月的產業經驗，擁有 8 項專利、14 篇以上的研究出版物，並與本地和國際出版社共同編著或編輯了 2 本以上的書籍。

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