Clinical Text Mining Secondary Use of Electronic Patient Records
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 pur...
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| Format: | eBook |
| Language: | English |
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Cham
Springer International Publishing
2018, 2018
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| Edition: | 1st ed. 2018 |
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| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Introduction
- The history of the patient record and the paper record
- User needs: clinicians, clinical researchers and hospital management
- Characteristics of patient records and clinical corpora
- Medical classifications and terminologies
- Evaluation metrics and evaluation
- Basic building blocks for clinical text processing
- Computational methods for text analysis and text classification
- Ethics and privacy of patient records for clinical text mining research
- Applications of clinical text mining
- Networks and shared tasks in clinical text mining
- Conclusions and outlook
- References
- Index