Qing Zeng-Treitler

Summary

Affiliation: University of Utah
Country: USA

Publications

  1. ncbi request reprint Can multilingual machine translation help make medical record content more comprehensible to patients?
    Qing Zeng-Treitler
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT 84112, USA
    Stud Health Technol Inform 160:73-7. 2010
  2. pmc Predicting sample size required for classification performance
    Rosa L Figueroa
    Dep Ing Electrica, Facultad de Ingenieria, Universidad de Concepcion, Concepcion, Chile
    BMC Med Inform Decis Mak 12:8. 2012
  3. pmc Active learning for clinical text classification: is it better than random sampling?
    Rosa L Figueroa
    Departamento de Ingenieria Electrica, Facultad de Ingenieria, Universidad de Concepcion, Concepcion, Chile
    J Am Med Inform Assoc 19:809-16. 2012
  4. pmc Mining online social network data for biomedical research: a comparison of clinicians' and patients' perceptions about amyotrophic lateral sclerosis treatments
    Carlos Nakamura
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
    J Med Internet Res 14:e90. 2012
  5. pmc Use of topic modeling for recommending relevant education material to diabetic patients
    Sasikiran Kandula
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
    AMIA Annu Symp Proc 2011:674-82. 2011
  6. doi request reprint A bootstrapping algorithm to improve cohort identification using structured data
    Sasikiran Kandula
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT 84112, USA
    J Biomed Inform 44:S63-8. 2011
  7. pmc A new adaptive testing algorithm for shortening health literacy assessments
    Sasikiran Kandula
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
    BMC Med Inform Decis Mak 11:52. 2011
  8. ncbi request reprint Exploring relations among semantic groups: a comparison of concept co-occurrence in biomedical sources
    Sasikiran Kandula
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
    Stud Health Technol Inform 160:995-9. 2010
  9. pmc Computer-assisted update of a consumer health vocabulary through mining of social network data
    Kristina M Doing-Harris
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
    J Med Internet Res 13:e37. 2011
  10. pmc A semantic and syntactic text simplification tool for health content
    Sasikiran Kandula
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT
    AMIA Annu Symp Proc 2010:366-70. 2010

Collaborators

Detail Information

Publications11

  1. ncbi request reprint Can multilingual machine translation help make medical record content more comprehensible to patients?
    Qing Zeng-Treitler
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT 84112, USA
    Stud Health Technol Inform 160:73-7. 2010
    ....
  2. pmc Predicting sample size required for classification performance
    Rosa L Figueroa
    Dep Ing Electrica, Facultad de Ingenieria, Universidad de Concepcion, Concepcion, Chile
    BMC Med Inform Decis Mak 12:8. 2012
    ..Annotated data, however, is a relatively scarce resource and can be expensive to obtain. For both passive and active learning methods, there is a need to estimate the size of the annotated sample required to reach a performance target...
  3. pmc Active learning for clinical text classification: is it better than random sampling?
    Rosa L Figueroa
    Departamento de Ingenieria Electrica, Facultad de Ingenieria, Universidad de Concepcion, Concepcion, Chile
    J Am Med Inform Assoc 19:809-16. 2012
    ..This study explores active learning algorithms as a way to reduce the requirements for large training sets in medical text classification tasks...
  4. pmc Mining online social network data for biomedical research: a comparison of clinicians' and patients' perceptions about amyotrophic lateral sclerosis treatments
    Carlos Nakamura
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
    J Med Internet Res 14:e90. 2012
    ....
  5. pmc Use of topic modeling for recommending relevant education material to diabetic patients
    Sasikiran Kandula
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
    AMIA Annu Symp Proc 2011:674-82. 2011
    ..01) to the patient's disease state than articles selected at random from within the same disease domain...
  6. doi request reprint A bootstrapping algorithm to improve cohort identification using structured data
    Sasikiran Kandula
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT 84112, USA
    J Biomed Inform 44:S63-8. 2011
    ..The method is reasonably automated and, we believe, holds potential for inexpensive, more accurate cohort identification...
  7. pmc A new adaptive testing algorithm for shortening health literacy assessments
    Sasikiran Kandula
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
    BMC Med Inform Decis Mak 11:52. 2011
    ....
  8. ncbi request reprint Exploring relations among semantic groups: a comparison of concept co-occurrence in biomedical sources
    Sasikiran Kandula
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
    Stud Health Technol Inform 160:995-9. 2010
    ..We believe that addressing these differences can help us generate more informative and consumer-friendly health content as well as develop better consumer health informatics applications...
  9. pmc Computer-assisted update of a consumer health vocabulary through mining of social network data
    Kristina M Doing-Harris
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
    J Med Internet Res 13:e37. 2011
    ..Consumer health vocabularies (CHVs) have been developed to aid consumer health informatics applications. This purpose is best served if the vocabulary evolves with consumers' language...
  10. pmc A semantic and syntactic text simplification tool for health content
    Sasikiran Kandula
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT
    AMIA Annu Symp Proc 2010:366-70. 2010
    ..A cloze test on the electronic medical records showed a statistically significant improvement in the cloze score from 35.8% to 43.6%...
  11. pmc Tailoring vocabularies for NLP in sub-domains: a method to detect unused word sense
    Rosa L Figueroa
    Dep Ing Electrica, Fac de Ingenieria Universidad de Concepcion, Concepcion, Chile
    AMIA Annu Symp Proc 2009:188-92. 2009
    ..We were able to detect unused senses with precision from 79% to 87%, recall from 48% to 74%, and an area under receiver operation curve (AUC) of 72% to 87%...