Cover Image

Clinical Text Mining Secondary Use of Electronic Patient Records /

Show other versions (2)

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...

Full description

Saved in:
Bibliographic Details
Main Author: Dalianis, Hercules (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Subjects:
Information storage and retrieval systems.
Medical informatics.
Natural language processing (Computer science).
Data mining.
Information Storage and Retrieval.
Health Informatics.
Natural Language Processing (NLP).
Data Mining and Knowledge Discovery.
Online Access:Link to Metadata
Tags: Add Tag
No Tags, Be the first to tag this record!
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.

Similar Items