Yayınlanmış 1 Ocak 2016 | Sürüm v1
Dergi makalesi Açık

Using automatically extracted information from mammography reports for decision-support

  • 1. Akdeniz Univ, Fac Med, Dept Biostat & Med Informat, Antalya, Turkey
  • 2. Stanford Univ, Dept Radiol & Med Biomed Informat Res, Richard M Lucas Ctr, 1201 Welch Rd,Off P285, Stanford, CA 94305 USA
  • 3. Univ Wisconsin, Dept Radiol, Madison, WI 53706 USA

Açıklama

Objective: To evaluate a system we developed that connects natural language processing (NLP) for information extraction from narrative text mammography reports with a Bayesian network for decision support about breast cancer diagnosis. The ultimate goal of this system is to provide decision support as part of the workflow of producing the radiology report.

Dosyalar

bib-45b94fee-9f98-4e64-b155-4d711cf28e9c.txt

Dosyalar (215 Bytes)

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md5:2b0fed21d8470f9170033f08160dabe7
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