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Clinical Text Mining

Overview of attention for book
Cover of 'Clinical Text Mining'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 The History of the Patient Record and the Paper Record
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    Chapter 3 User Needs: Clinicians, Clinical Researchers and Hospital Management
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    Chapter 4 Characteristics of Patient Records and Clinical Corpora
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    Chapter 5 Medical Classifications and Terminologies
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    Chapter 6 Evaluation Metrics and Evaluation
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    Chapter 7 Basic Building Blocks for Clinical Text Processing
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    Chapter 8 Computational Methods for Text Analysis and Text Classification
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    Chapter 9 Ethics and Privacy of Patient Records for Clinical Text Mining Research
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    Chapter 10 Applications of Clinical Text Mining
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    Chapter 11 Networks and Shared Tasks in Clinical Text Mining
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    Chapter 12 Conclusions and Outlook
Attention for Chapter 1: Introduction
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Citations

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Chapter title
Introduction
Chapter number 1
Book title
Clinical Text Mining
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-78503-5_1
Book ISBNs
978-3-31-978502-8, 978-3-31-978503-5
Authors

Hercules Dalianis

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 50%
Other 1 50%
Readers by discipline Count As %
Linguistics 1 50%
Medicine and Dentistry 1 50%

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