Literature DB >> 23797461

Extracting BI-RADS Features from Portuguese Clinical Texts.

Houssam Nassif1, Filipe Cunha, Inês C Moreira, Ricardo Cruz-Correia, Eliana Sousa, David Page, Elizabeth Burnside, Inês Dutra.   

Abstract

In this work we build the first BI-RADS parser for Portuguese free texts, modeled after existing approaches to extract BI-RADS features from English medical records. Our concept finder uses a semantic grammar based on the BIRADS lexicon and on iterative transferred expert knowledge. We compare the performance of our algorithm to manual annotation by a specialist in mammography. Our results show that our parser's performance is comparable to the manual method.

Entities:  

Keywords:  BI-RADS descriptors; breast cancer; feature extraction

Year:  2012        PMID： 23797461      PMCID： PMC3688645          DOI： 10.1109/bibm.2012.6392613

Source DB:  PubMed          Journal:  Proceedings (IEEE Int Conf Bioinformatics Biomed)        ISSN： 2156-1125


  6 in total

1.  Use of general-purpose negation detection to augment concept indexing of medical documents: a quantitative study using the UMLS.

Authors:  P G Mutalik; A Deshpande; P M Nadkarni
Journal:  J Am Med Inform Assoc       Date:  2001 Nov-Dec       Impact factor: 4.497

2.  Comparing general and medical texts for information retrieval based on natural language processing: an inquiry into lexical disambiguation.

Authors:  P Ruch; R Baud; A Geissbühler; A M Rassinoux
Journal:  Stud Health Technol Inform       Date:  2001

3.  Automated encoding of clinical documents based on natural language processing.

Authors:  Carol Friedman; Lyudmila Shagina; Yves Lussier; George Hripcsak
Journal:  J Am Med Inform Assoc       Date:  2004-06-07       Impact factor: 4.497

4.  Automatic classification of mammography reports by BI-RADS breast tissue composition class.

Authors:  Bethany Percha; Houssam Nassif; Jafi Lipson; Elizabeth Burnside; Daniel Rubin
Journal:  J Am Med Inform Assoc       Date:  2012-01-29       Impact factor: 4.497

5.  The Unified Medical Language System.

Authors:  D A Lindberg; B L Humphreys; A T McCray
Journal:  Methods Inf Med       Date:  1993-08       Impact factor: 2.176

6.  Information Extraction for Clinical Data Mining: A Mammography Case Study.

Authors:  Houssam Nassif; Ryan Woods; Elizabeth Burnside; Mehmet Ayvaci; Jude Shavlik; David Page
Journal:  Proc IEEE Int Conf Data Min       Date:  2009
  6 in total
  5 in total

1.  Automatic inference of BI-RADS final assessment categories from narrative mammography report findings.

Authors:  Imon Banerjee; Selen Bozkurt; Emel Alkim; Hersh Sagreiya; Allison W Kurian; Daniel L Rubin
Journal:  J Biomed Inform       Date:  2019-02-23       Impact factor: 6.317

2.  Automatic Detection of Negated Findings in Radiological Reports for Spanish Language: Methodology Based on Lexicon-Grammatical Information Processing.

Authors:  Walter Koza; Darío Filippo; Viviana Cotik; Vanesa Stricker; Mirian Muñoz; Ninoska Godoy; Natalia Rivas; Ricardo Martínez-Gamboa
Journal:  J Digit Imaging       Date:  2019-02       Impact factor: 4.056

3.  Automated annotation and classification of BI-RADS assessment from radiology reports.

Authors:  Sergio M Castro; Eugene Tseytlin; Olga Medvedeva; Kevin Mitchell; Shyam Visweswaran; Tanja Bekhuis; Rebecca S Jacobson
Journal:  J Biomed Inform       Date:  2017-04-18       Impact factor: 6.317

4.  Predicting malignancy from mammography findings and image-guided core biopsies.

Authors:  Pedro Ferreira; Nuno A Fonseca; Inês Dutra; Ryan Woods; Elizabeth Burnside
Journal:  Int J Data Min Bioinform       Date:  2015       Impact factor: 0.667

5.  Using automatically extracted information from mammography reports for decision-support.

Authors:  Selen Bozkurt; Francisco Gimenez; Elizabeth S Burnside; Kemal H Gulkesen; Daniel L Rubin
Journal:  J Biomed Inform       Date:  2016-07-04       Impact factor: 6.317
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.