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Clinical Text Mining

Secondary Use of Electronic Patient Records

Authors: Dalianis, Hercules

  • 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 language processing and machine learning methodologies
  • Written for graduate students in health informatics, computational linguistics, and information retrieval
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Buy this book

eBook  
  • ISBN 978-3-319-78503-5
  • This book is an open access book, you can download it for free on link.springer.com
Hardcover 51,99 €
price for Spain (gross)
  • ISBN 978-3-319-78502-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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 for research 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 mining and summarise the lessons learned from the previous chapters.

The book provides a comprehensive overview of technical issues arising in clinical text mining, and offers a valuable guide for advanced students in health informatics, computational linguistics, and information retrieval, and for researchers entering these fields.

About the authors

Hercules Dalianis, Master of Science in engineering (civilingenjör) with speciality in electrical engineering, graduated in 1984 at the Royal Institute of Technology, KTH, Stockholm, Sweden, and received his PhD/Teknologie doktor in 1996 also at KTH. Since 2011 he is professor in Computer and Systems Sciences at Stockholm University, Sweden. Since 1988 he has carried out research in natural language processing and information retrieval, and during the last ten years he has applied these methods on text from electronic patient records, resulting in the research area clinical text mining.

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Table of contents (12 chapters)

  • Introduction

    Dalianis, Hercules

    Pages 1-4

  • The History of the Patient Record and the Paper Record

    Dalianis, Hercules

    Pages 5-12

  • User Needs: Clinicians, Clinical Researchers and Hospital Management

    Dalianis, Hercules

    Pages 13-19

  • Characteristics of Patient Records and Clinical Corpora

    Dalianis, Hercules

    Pages 21-34

  • Medical Classifications and Terminologies

    Dalianis, Hercules

    Pages 35-43

Buy this book

eBook  
  • ISBN 978-3-319-78503-5
  • This book is an open access book, you can download it for free on link.springer.com
Hardcover 51,99 €
price for Spain (gross)
  • ISBN 978-3-319-78502-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Clinical Text Mining
Book Subtitle
Secondary Use of Electronic Patient Records
Authors
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s)
eBook ISBN
978-3-319-78503-5
DOI
10.1007/978-3-319-78503-5
Hardcover ISBN
978-3-319-78502-8
Edition Number
1
Number of Pages
XVII, 181
Number of Illustrations
26 b/w illustrations, 28 illustrations in colour
Topics