Biomedical Data Mining for Information Retrieval: Methodologies, Techniques, and Applications
暫譯: 生物醫學數據挖掘與資訊檢索：方法論、技術與應用

Dash, Sujata, Pani, Subhendu Kumar, Balamurugan, S.

Biomedical Data Mining for Information Retrieval: Methodologies, Techniques, and Applications
  • 出版商: Wiley
  • 出版日期: 2021-08-24
  • 售價: $8,020
  • 貴賓價: 9.5 折 $7,619
  • 語言: 英文
  • 頁數: 448
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 111971124X
  • ISBN-13: 9781119711247
  • 相關分類: Data-mining

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book comprehensively covers the topic of mining biomedical text, images and visual features towards information retrieval. Biomedical and Health Informatics is an emerging field of research at the intersection of information science, computer science, and health care and brings tremendous opportunities and challenges due to easily available and abundant biomedical data for further analysis. The aim of healthcare informatics is to ensure the high-quality, efficient healthcare, better treatment and quality of life by analyzing biomedical and healthcare data including patient's data, electronic health records (EHRs) and lifestyle. Previously it was a common requirement to have a domain expert to develop a model for biomedical or healthcare; however, recent advancements in representation learning algorithms allows us to automatically to develop the model. Biomedical Image Mining, a novel research area, due to its large amount of biomedical images increasingly generates and stores digitally. These images are mainly in the form of computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients' biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions related to health care. Image mining in medicine can help to uncover new relationships between data and reveal new useful information that can be helpful for doctors in treating their patients.

商品描述(中文翻譯)

這本書全面探討生物醫學文本、圖像及視覺特徵的挖掘，以進行資訊檢索。生物醫學與健康資訊學是一個新興的研究領域，位於資訊科學、計算機科學和醫療保健的交匯處，因為生物醫學數據的易得性和豐富性，為進一步分析帶來了巨大的機會和挑戰。健康資訊學的目標是通過分析生物醫學和健康數據，包括病人的數據、電子健康紀錄（EHRs）和生活方式，來確保高品質、高效率的醫療保健，改善治療效果和生活品質。過去，開發生物醫學或健康護理模型通常需要領域專家的參與；然而，最近在表示學習算法方面的進展使我們能夠自動開發模型。生物醫學影像挖掘是一個新穎的研究領域，因為大量的生物醫學影像越來越多地以數位形式生成和儲存。這些影像主要以計算機斷層掃描（CT）、X光、核醫學影像（PET、SPECT）、磁共振成像（MRI）和超聲波的形式存在。病人的生物醫學影像可以使用數據挖掘技術進行數位化，並可能有助於回答與醫療保健相關的幾個重要和關鍵問題。醫學中的影像挖掘可以幫助揭示數據之間的新關係，並揭示對醫生治療病人有幫助的新有用資訊。

作者簡介

Sujata Dash received her PhD in Computational Modelling from Berhampur University, Orissa, India in 1995. She is an associate professor in P.G. Department of Computer Science & Application, North Orissa University, at Baripada, India. She has published more than 80 technical papers in international journals, conferences, book chapters and has authored 5 books.

Subhendu Kumar Pani received his PhD from Utkal University Odisha, India in 2013. He is working as Professor in the Department of Computer Science & Engineering and also Research coordinator at Orissa Engineering College (OEC) Bhubaneswar.

S. Balamurugan is the Director-Research and Development, Intelligent Research Consultancy Services(iRCS), Coimbatore, Tamilnadu, India. He PhD in Information Technology and has published 45 books, 200+ international journals/conferences and 35 patents.

Ajith Abraham received PhD in Computer Science from Monash University, Melbourne, Australia in 2001. He is Director of Machine Intelligence Research Labs (MIR Labs) which has members from 100+ countries. Ajith's research experience includes over 30 years in the industry and academia. He has authored / co-authored over 1300+ publications (with colleagues from nearly 40 countries) and has an h-index of 86+.

作者簡介(中文翻譯)

Sujata Dash 於1995年在印度奧里薩邦的 Berhampur University 獲得計算建模博士學位。她是印度 Baripada 的北奧里薩大學計算機科學與應用研究所的副教授。她在國際期刊、會議、書籍章節上發表了超過80篇技術論文，並著作了5本書籍。

Subhendu Kumar Pani 於2013年在印度奧里薩邦的 Utkal University 獲得博士學位。他目前擔任布巴內斯瓦爾的奧里薩工程學院 (OEC) 計算機科學與工程系的教授及研究協調員。

S. Balamurugan 是印度泰米爾納德邦 Coimbatore 的智能研究顧問服務公司 (iRCS) 的研究與發展主任。他擁有資訊科技博士學位，並出版了45本書籍、200多篇國際期刊/會議論文及35項專利。

Ajith Abraham 於2001年在澳大利亞墨爾本的 Monash University 獲得計算機科學博士學位。他是機器智能研究實驗室 (MIR Labs) 的主任，該實驗室擁有來自100多個國家的成員。Ajith 擁有超過30年的產業及學術研究經驗。他已著作/合著超過1300篇出版物（與來自近40個國家的同事合作），並擁有86以上的 h-index。

類似商品