| 書目名稱 | Clinical Text Mining | | 副標題 | Secondary Use of Ele | | 編輯 | Hercules Dalianis | | 視頻video | http://file.papertrans.cn/229/228249/228249.mp4 | | 概述 | Provides a comprehensive overview of technical and ethical issues arising in clinical text mining.Presents both the general background and structure of patient records, as well as various natural lang | | 圖書封面 |  | | 描述 | .This open access book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records.. .It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial chapters do not require any technical or medical background knowledge. The remaining eight chapters are more technical in nature and describe various medical classifications and terminologies such as ICD diagnosis codes, SNOMED CT, MeSH, UMLS, and ATC. Chapters 5-10 cover basic tools for natural language processing and information retrieval, and how to apply them to clinical text. The difference between rule-based and machine learning-based methods, as well as between supervised and unsupervised machine learning methods, are also explained. Next, ethical concerns regarding the use of sensitive patient records forresearch purposes are discussed, including methods for de-identifying electronic patient records and safely storing patient records. The book’s closing chapters present a number of applications in clinical text minin | | 出版日期 | Book‘‘‘‘‘‘‘‘ 2018 | | 關鍵詞 | Data Mining; Text Mining; Health Informatics; Health Care Information Systems; Medical Terminologies; Nat | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-78503-5 | | isbn_softcover | 978-3-030-08715-9 | | isbn_ebook | 978-3-319-78503-5 | | copyright | The Editor(s) (if applicable) and The Author(s) 2018 |
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