Clinical Text Mining : Secondary Use of Electronic Patient Records

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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Detalles Bibliográficos
Autor principal: Dalianis, Hercules. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cham : Springer Nature 2018
2018.
Edición:1st ed. 2018.
Materias:
Information storage and retrieval.
Health informatics.
Natural language processing (Computer science).
Data mining.
Information Storage and Retrieval.
Health Informatics.
Natural Language Processing (NLP).
Data Mining and Knowledge Discovery.
Natural Language Processing
Text Analysis
Data Mining
Health Informatics
Text Mining
Medical Terminologies
Health Care Information Systems
Support Vector Machines
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009432070606719
Tabla de Contenidos:
  • 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.

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