1. Articles from Henriksson A , et al.

    1-1 of 1
    1. Prevalence Estimation of Protected Health Information in Swedish Clinical Text.

      Prevalence Estimation of Protected Health Information in Swedish Clinical Text.

      Prevalence Estimation of Protected Health Information in Swedish Clinical Text.

      Stud Health Technol Inform. 2017;235:216-220

      Authors: Henriksson A, Kvist M, Dalianis H

      Abstract Obscuring protected health information (PHI) in the clinical text of health records facilitates the secondary use of healthcare data in a privacy-preserving manner.

      Read Full Article
    1-1 of 1
  1. Categories

    1. Default:

      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD
  2. Topics in the News

    1. (3 articles) Google
    2. (3 articles) Digital Marketing
    3. (3 articles) Microsoft
    4. (3 articles) USA
    5. (2 articles) IBM
    6. (2 articles) Hong Kong
    7. (2 articles) Singapore
    8. (2 articles) Taiwan
    9. (1 articles) PHI
    10. (1 articles) Stud Health Technol Inform
    11. (1 articles) Google Cloud Platform
    12. (1 articles) California
  3. Popular Articles

  4. Picture Gallery

    Supercharging the Indian healthcare industry with Artificial Intelligence : Ashu Kajekar Removing stop words with NLTK in Python Data Scientist Send Nader.Ali@rht.com - chino, Ca - 00350-9500536946 How Artificial Intelligence and Cognitive Technology May Change the Tax Profession Imagining a World without Language Barriers Fake News and Fake Solutions: How Do We Build a Civics of Trust? Artificial Intelligence for Oil and Gas: Is it time to invest? Q&A with Bill Gates on his work as an adviser to Microsoft, his focus on natural language processing and virtual assistants, and the evolution of the company (Todd Bishop/GeekWire) Lead Data Scientist (Machine Learning & Nlp) - Ambition | jobsDB Singapore Defining Intelligence How Mary Tyler Moore Inspired a Generation of Female Journalists US Intelligence seeks a universal translator for text search in any language