Clinical Text Mining

Secondary Use of Electronic Patient Records

Hercules Dalianis

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English

Springer Nature Switzerland AG
05 January 2019

Medicine: general issues; Business applications; Storage media & peripherals; Information retrieval; Computer networking & communications

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 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.

By: Hercules Dalianis
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Edition: Softcover Reprint of the Original 1st 2018 ed.
Dimensions: Height: 235mm, Width: 155mm, Spine: 11mm
Weight: 454g
ISBN: 9783030087159
ISBN 10: 3030087158
Pages: 181
Publication Date: 05 January 2019
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

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.