Data Science for Healthcare: Methodologies and Applications
暫譯: 醫療數據科學：方法論與應用
Consoli, Sergio, Reforgiato Recupero, Diego, Petkovic, Milan
- 出版商: Springer
- 出版日期: 2019-03-07
- 售價: $6,780
- 貴賓價: 9.5 折 $6,441
- 語言: 英文
- 頁數: 367
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3030052486
- ISBN-13: 9783030052485
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相關分類:
Data Science
海外代購書籍(需單獨結帳)
相關主題
商品描述
Building on three tutorial-like chapters on data science in healthcare, the following eleven chapters highlight success stories on the application of data science in healthcare, where data science and artificial intelligence technologies have proven to be very promising.
This book is primarily intended for data scientists involved in the healthcare or medical sector. By reading this book, they will gain essential insights into the modern data science technologies needed to advance innovation for both healthcare businesses and patients. A basic grasp of data science is recommended in order to fully benefit from this book.
商品描述(中文翻譯)
本書旨在促進數據科學在醫療系統中的應用。重點在於推進自動化分析方法，以從數據中提取新知識，應用於醫療領域。為此，本書借鑒了幾個相互關聯的學科，包括機器學習、大數據分析、統計學、模式識別、計算機視覺和語義網技術，並專注於它們在醫療中的直接應用。
本書基於三個有如教程的章節，介紹醫療領域的數據科學，接下來的十一個章節則突顯了數據科學在醫療中的成功案例，其中數據科學和人工智慧技術已被證明非常有前景。
本書主要針對參與醫療或醫學領域的數據科學家。通過閱讀本書，他們將獲得推進醫療業務和病人創新所需的現代數據科學技術的基本見解。建議讀者具備基本的數據科學知識，以便充分受益於本書。
作者簡介
Diego Reforgiato Recupero is Associate Professor at the Department of Mathematics and Computer Science of the University of Cagliari, Italy. His interests span from Semantic Web, graph theory and smart grid optimization to sentiment analysis, data mining, big data, machine and deep learning and natural language processing. He is also affiliated within the ISTC institute at the National Research Council (CNR) and co-founder of six ICT companies two of which are university spin-offs. He is author of more than 90 journal, conference papers and book chapters in his research domains.
Milan Petkovic is the head of the Data Science department in Philips Research which conducts innovation projects for Philips in the domain of data analytics, advanced data management and security. He is also a part-time full professor at the Eindhoven University of Technology. Among his research interests are data science, big data analytics, information security and privacy protection. Milan is also a vice president of the Big Data Value Association, which supports big data public private partnership. He has published more than 50 journal and conference papers as well as several books including a book on "Security, Privacy and Trust in Modern Data Management."
作者簡介(中文翻譯)
Sergio Consoli 是飛利浦研究所（Philips Research）數據科學部門的高級科學家，專注於推進自動化分析方法，以從數據中提取新知識，應用於健康科技領域。Sergio 的教育背景和科學經驗涵蓋數據科學、運籌學、人工智慧、知識工程、機器學習和災害管理等領域。他在同行評審的國際期刊、編輯書籍以及其研究領域的主要會議上發表了多篇研究論文。
Diego Reforgiato Recupero 是意大利卡利亞里大學（University of Cagliari）數學與計算機科學系的副教授。他的研究興趣涵蓋語義網、圖論和智慧電網優化、情感分析、數據挖掘、大數據、機器學習和深度學習以及自然語言處理。他還隸屬於國家研究委員會（CNR）下的ISTC研究所，並共同創辦了六家資訊通信技術（ICT）公司，其中兩家為大學衍生公司。他在其研究領域發表了超過90篇期刊、會議論文和書籍章節。
Milan Petkovic 是飛利浦研究所數據科學部門的負責人，該部門負責為飛利浦進行數據分析、高級數據管理和安全領域的創新項目。他同時也是埃因霍溫科技大學（Eindhoven University of Technology）的兼任全職教授。他的研究興趣包括數據科學、大數據分析、資訊安全和隱私保護。Milan 也是大數據價值協會（Big Data Value Association）的副會長，該協會支持大數據的公私合營。他已發表超過50篇期刊和會議論文，以及幾本書籍，其中包括一本名為《現代數據管理中的安全、隱私和信任》的書。
