Literature DB >> 16420733

Evaluation of biomedical text-mining systems: lessons learned from information retrieval.

William Hersh1.   

Abstract

Biomedical text-mining systems have great promise for improving the efficiency and productivity of biomedical researchers. However, such systems are still not in routine use. One impediment to their development is the lack of systematic and rigorous evaluation, comparable to the approaches developed for information retrieval systems. The developers of text-mining systems need to improve both test collections for system-oriented evaluation and undertake user-oriented evaluations to determine the most effective use of their systems for their intended audience.

Mesh:

Year:  2005        PMID: 16420733     DOI: 10.1093/bib/6.4.344

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  21 in total

1.  Information from Searching Content with an Ontology-Utilizing Toolkit (iSCOUT).

Authors:  Ronilda Lacson; Katherine P Andriole; Luciano M Prevedello; Ramin Khorasani
Journal:  J Digit Imaging       Date:  2012-08       Impact factor: 4.056

Review 2.  A systematic literature review of automated clinical coding and classification systems.

Authors:  Mary H Stanfill; Margaret Williams; Susan H Fenton; Robert A Jenders; William R Hersh
Journal:  J Am Med Inform Assoc       Date:  2010 Nov-Dec       Impact factor: 4.497

3.  Automated semantic indexing of figure captions to improve radiology image retrieval.

Authors:  Charles E Kahn; Daniel L Rubin
Journal:  J Am Med Inform Assoc       Date:  2009-03-04       Impact factor: 4.497

4.  Accurate determination of imaging modality using an ensemble of text- and image-based classifiers.

Authors:  Charles E Kahn; Jayashree Kalpathy-Cramer; Cesar A Lam; Christina E Eldredge
Journal:  J Digit Imaging       Date:  2012-02       Impact factor: 4.056

5.  Validation of a Crowdsourcing Methodology for Developing a Knowledge Base of Related Problem-Medication Pairs.

Authors:  A B McCoy; A Wright; M Krousel-Wood; E J Thomas; J A McCoy; D F Sittig
Journal:  Appl Clin Inform       Date:  2015-05-20       Impact factor: 2.342

6.  Assessing Inaccuracies in Automated Information Extraction of Breast Imaging Findings.

Authors:  Ronilda Lacson; Martha E Goodrich; Kimberly Harris; Phyllis Brawarsky; Jennifer S Haas
Journal:  J Digit Imaging       Date:  2017-04       Impact factor: 4.056

7.  Evaluation of an Automated Information Extraction Tool for Imaging Data Elements to Populate a Breast Cancer Screening Registry.

Authors:  Ronilda Lacson; Kimberly Harris; Phyllis Brawarsky; Tor D Tosteson; Tracy Onega; Anna N A Tosteson; Abby Kaye; Irina Gonzalez; Robyn Birdwell; Jennifer S Haas
Journal:  J Digit Imaging       Date:  2015-10       Impact factor: 4.056

8.  Identification of Long Bone Fractures in Radiology Reports Using Natural Language Processing to support Healthcare Quality Improvement.

Authors:  Robert W Grundmeier; Aaron J Masino; T Charles Casper; Jonathan M Dean; Jamie Bell; Rene Enriquez; Sara Deakyne; James M Chamberlain; Elizabeth R Alpern
Journal:  Appl Clin Inform       Date:  2016-11-09       Impact factor: 2.342

Review 9.  Biomedical informatics and translational medicine.

Authors:  Indra Neil Sarkar
Journal:  J Transl Med       Date:  2010-02-26       Impact factor: 5.531

10.  Caveats for the use of operational electronic health record data in comparative effectiveness research.

Authors:  William R Hersh; Mark G Weiner; Peter J Embi; Judith R Logan; Philip R O Payne; Elmer V Bernstam; Harold P Lehmann; George Hripcsak; Timothy H Hartzog; James J Cimino; Joel H Saltz
Journal:  Med Care       Date:  2013-08       Impact factor: 2.983

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