Natural Language Processing in Biomedicine: A Practical Guide

Xu, Hua, Demner Fushman, Dina

Natural Language Processing in Biomedicine: A Practical Guide
  • 出版商: Springer
  • 出版日期: 2024-06-09
  • 售價: $3,790
  • 貴賓價: 9.5 折 $3,601
  • 語言: 英文
  • 頁數: 444
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031558642
  • ISBN-13: 9783031558641

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This textbook covers broad topics within the application of natural language processing (NLP) in biomedicine, and provides in-depth review of the NLP solutions that reveal information embedded in biomedical text. The need for biomedical NLP research and development has grown rapidly in the past two decades as an important field in cognitive informatics. Natural Language Processing in Biomedicine: A Practical Guide introduces the history of the biomedical NLP field and takes the reader through the basic aspects of NLP including different levels of linguistic information and widely used machine learning and deep learning algorithms. The book details common biomedical NLP tasks, such as named entity recognition, concept normalization, relation extraction, text classification, information retrieval, and question answering. The book illustrates the tasks with real-life use cases and introduces real-world datasets, novel machine learning and deep learning algorithms, and large language models. Relevant resources for corpora and medical terminologies are also introduced. The final chapters are devoted to discussing applications of biomedical NLP in healthcare and life sciences. This textbook therefore represents essential reading for students in biomedical informatics programs, as well as for professionals who are conducting research or building biomedical NLP systems.

商品描述(中文翻譯)

本教科書涵蓋了自然語言處理（NLP）在生物醫學應用中的廣泛主題，並深入回顧了揭示生物醫學文本中嵌入資訊的NLP解決方案。在過去二十年中，生物醫學NLP研究與開發的需求迅速增長，成為認知資訊學中的一個重要領域。《Natural Language Processing in Biomedicine: A Practical Guide》介紹了生物醫學NLP領域的歷史，並引導讀者了解NLP的基本方面，包括不同層次的語言資訊以及廣泛使用的機器學習和深度學習演算法。本書詳細說明了常見的生物醫學NLP任務，如命名實體識別、概念標準化、關係提取、文本分類、資訊檢索和問題回答。書中以實際案例說明這些任務，並介紹了現實世界的數據集、新穎的機器學習和深度學習演算法，以及大型語言模型。相關的語料庫和醫學術語資源也被介紹。最後幾章專門討論生物醫學NLP在醫療保健和生命科學中的應用。因此，本教科書對於生物醫學資訊學課程的學生以及從事研究或建立生物醫學NLP系統的專業人士來說，都是必讀的資料。

作者簡介

Dr. Hua Xu is Robert T. McCluskey Professor and Vice Chair for Research and Development within the Section of Biomedical Informatics and Data Science at Yale School of Medicine. He received his Ph.D. in Biomedical Informatics from Columbia University. His primary research interests include biomedical natural language processing (NLP) and data mining, as well as their applications in secondary use of electronic health records data for clinical and translational research. His research is funded by multiple agencies (i.e., NLM, NCI, NIGMS, NIA, AHA, and NSF). NLP methods and tools developed in his lab have been top ranked in various biomedical NLP shared tasks and widely used to support diverse biomedical applications. He previously chaired the American Medical Informatics Association (AMIA) NLP Working Group and currently leads the Observational Health Data Sciences and Informatics (OHDSI) NLP Working Group. His contributions have been recognized with fellowships from both theAmerican College of Medical Informatics (ACMI) and the International Academy of Health Sciences Informatics (IAHSI).
Dr. Dina Demner-Fushmsn is an Investigator at the National Library of Medicine, NIH. Dr. Demner-Fushman leads research in the areas of Information Extraction for Clinical Decision Support, EMR Database Research and Development, and Image and Text Indexing for Clinical Decision Support and Education. The outgrowths of these projects are the evidence-based decision support system, InfoBot, used at the NIH Clinical Center from 2009 to 2020, an image retrieval engine, Open-i, launched in 2012, and an automatic question answering service CHiQA launched in 2018. Dr. Demner-Fushman authored more than 300 articles, book chapters and books in the fields of information retrieval, natural language processing, and biomedical and clinical informatics. Dr. Demner-Fushman is a Fellow of the American College of Medical Informatics (ACMI), an Associate Editor of the Journal of the American Medical Informatics Association, a member of Nature's Scientific Data Editorial Board, past chair of the AMIA NLP SIG, and a founding member and chair of the Association for Computational Linguistics (ACL) Special Interest Group on biomedical natural language processing.

作者簡介(中文翻譯)

徐華博士是耶魯醫學院生物醫學資訊與數據科學部門的羅伯特·T·麥克拉斯基教授及研究與發展副主任。他在哥倫比亞大學獲得生物醫學資訊的博士學位。他的主要研究興趣包括生物醫學自然語言處理（NLP）和數據挖掘，以及這些技術在電子健康紀錄數據的二次使用中對臨床和轉化研究的應用。他的研究獲得多個機構的資助（如NLM、NCI、NIGMS、NIA、AHA和NSF）。他實驗室開發的NLP方法和工具在各種生物醫學NLP共享任務中名列前茅，並廣泛應用於支持多樣的生物醫學應用。他曾擔任美國醫學資訊協會（AMIA）NLP工作組的主席，目前領導觀察性健康數據科學與資訊（OHDSI）NLP工作組。他的貢獻獲得美國醫學資訊學院（ACMI）和國際健康科學資訊學院（IAHSI）的研究員認可。

德梅納·福什曼博士是美國國立醫學圖書館（NIH）的研究員。德梅納·福什曼博士領導臨床決策支持的信息提取、電子病歷數據庫研究與開發，以及臨床決策支持和教育的圖像與文本索引等領域的研究。這些項目的成果包括自2009年至2020年在NIH臨床中心使用的基於證據的決策支持系統InfoBot、2012年推出的圖像檢索引擎Open-i，以及2018年推出的自動問答服務CHiQA。德梅納·福什曼博士在信息檢索、自然語言處理以及生物醫學和臨床資訊學領域發表了300多篇文章、書籍章節和書籍。德梅納·福什曼博士是美國醫學資訊學院（ACMI）的研究員、《美國醫學資訊協會期刊》的副編輯、《自然》科學數據編輯委員會的成員，曾擔任AMIA NLP特別興趣小組的主席，並且是計算語言學協會（ACL）生物醫學自然語言處理特別興趣小組的創始成員及主席。

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