Combining HCI, Natural Language Processing, and Knowledge Discovery - Potential of IBM Content Analytics as an Assistive Technology in the Biomedical Field

@inproceedings{Holzinger2013CombiningHN,
  title={Combining HCI, Natural Language Processing, and Knowledge Discovery - Potential of IBM Content Analytics as an Assistive Technology in the Biomedical Field},
  author={A. Holzinger and C. Stocker and B. Ofner and G. Prohaska and Alberto Brabenetz and R. Hofmann-Wellenhof},
  booktitle={CHI-KDD},
  year={2013}
}
  • A. Holzinger, C. Stocker, +3 authors R. Hofmann-Wellenhof
  • Published in CHI-KDD 2013
  • Computer Science
  • Medical professionals are confronted with a flood of big data most of it containing unstructured information. Such unstructured information is the subset of information, where the information itself describes parts of what constitutes as significant within it, or in other words - structure and information are not completely separable. The best example for such unstructured information is text. For many years, text mining has been an essential area of medical informatics. Although text can… CONTINUE READING

    Citations

    Publications citing this paper.
    SHOWING 1-10 OF 50 CITATIONS, ESTIMATED 97% COVERAGE

    Biomedical Text Mining: State-of-the-Art, Open Problems and Future Challenges

    VIEW 1 EXCERPT
    CITES METHODS

    Enhancing Patient Safety through Human-Computer Information Retrieval on the Example of German-Speaking Surgical Reports

    VIEW 2 EXCERPTS
    CITES METHODS

    Visual Data Mining: Effective Exploration of the Biological Universe

    NLPReViz: an interactive tool for natural language processing on clinical text

    VIEW 1 EXCERPT
    CITES BACKGROUND

    The Curative Power of Medical Data

    VIEW 1 EXCERPT
    CITES BACKGROUND

    Mining Unstructured Data in Software Repositories: Current and Future Trends

    • Gabriele Bavota
    • Computer Science
    • 2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER)
    • 2016
    VIEW 1 EXCERPT
    CITES BACKGROUND

    FILTER CITATIONS BY YEAR

    2013
    2020

    CITATION STATISTICS

    • 1 Highly Influenced Citations

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 38 REFERENCES

    Quality-Based Knowledge Discovery from Medical Text on the Web

    VIEW 1 EXCERPT

    Text analysis and knowledge mining system

    VIEW 1 EXCERPT

    Status of text-mining techniques applied to biomedical text.

    VIEW 1 EXCERPT