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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 6: Evaluation Metrics and Evaluation
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Citations

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244 Dimensions

Readers on

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263 Mendeley
Summary Dimensions citations
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Chapter title
Evaluation Metrics and Evaluation
Chapter number 6
Book title
Clinical Text Mining
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-78503-5_6
Book ISBNs
978-3-31-978502-8, 978-3-31-978503-5
Authors

Hercules Dalianis

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 263 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 263 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 12%
Student > Bachelor 24 9%
Student > Ph. D. Student 19 7%
Lecturer 12 5%
Student > Postgraduate 9 3%
Other 21 8%
Unknown 146 56%
Readers by discipline Count As %
Computer Science 60 23%
Engineering 28 11%
Agricultural and Biological Sciences 5 2%
Mathematics 4 2%
Medicine and Dentistry 4 2%
Other 13 5%
Unknown 149 57%

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