Guergana K Savova

Summary

Affiliation: Mayo Clinic
Country: USA

Publications

  1. ncbi Mayo clinic NLP system for patient smoking status identification
    Guergana K Savova
    Biomedical Informatics Research, Mayo Clinic, 200 First Street SW, Rochester, MN 55902, USA
    J Am Med Inform Assoc 15:25-8. 2008
  2. ncbi Word sense disambiguation across two domains: biomedical literature and clinical notes
    Guergana K Savova
    Division of Biomedical Informatics, Mayo Clinic College of Medicine, 150 Third Street SW, Rochester, MN 55902, USA
    J Biomed Inform 41:1088-100. 2008
  3. ncbi Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications
    Guergana K Savova
    Mayo Clinic College of Medicine, Rochester, Minnesota, USA
    J Am Med Inform Assoc 17:507-13. 2010
  4. ncbi Drug side effect extraction from clinical narratives of psychiatry and psychology patients
    Sunghwan Sohn
    Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
    J Am Med Inform Assoc 18:i144-9. 2011
  5. ncbi Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease
    Iftikhar J Kullo
    Division of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA
    J Am Med Inform Assoc 17:568-74. 2010
  6. ncbi Mayo clinic smoking status classification system: extensions and improvements
    Sunghwan Sohn
    Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
    AMIA Annu Symp Proc 2009:619-23. 2009
  7. ncbi Automated discovery of drug treatment patterns for endocrine therapy of breast cancer within an electronic medical record
    Guergana K Savova
    Mayo Clinic, Rochester, Minnesota, USA
    J Am Med Inform Assoc 19:e83-9. 2012
  8. ncbi Anaphoric reference in clinical reports: characteristics of an annotated corpus
    Wendy W Chapman
    Division of Biomedical Informatics, University of California, San Diego, 9500 Gillman Drive 0505, La Jolla, CA 92093, USA
    J Biomed Inform 45:507-21. 2012
  9. ncbi Classification of medication status change in clinical narratives
    Sunghwan Sohn
    Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN
    AMIA Annu Symp Proc 2010:762-6. 2010
  10. ncbi Discerning tumor status from unstructured MRI reports--completeness of information in existing reports and utility of automated natural language processing
    Lionel T E Cheng
    Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
    J Digit Imaging 23:119-32. 2010

Detail Information

Publications12

  1. ncbi Mayo clinic NLP system for patient smoking status identification
    Guergana K Savova
    Biomedical Informatics Research, Mayo Clinic, 200 First Street SW, Rochester, MN 55902, USA
    J Am Med Inform Assoc 15:25-8. 2008
    ..Our general medical natural language engine is easily adaptable to a real-world medical informatics application. Some of the limitations as applied to the use-case are negation detection and temporal resolution...
  2. ncbi Word sense disambiguation across two domains: biomedical literature and clinical notes
    Guergana K Savova
    Division of Biomedical Informatics, Mayo Clinic College of Medicine, 150 Third Street SW, Rochester, MN 55902, USA
    J Biomed Inform 41:1088-100. 2008
    ..Experimentation with 28 different feature sets rendered a system achieving an average F-score of 0.82 on the clinical data and 0.86 on the biomedical literature...
  3. ncbi Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications
    Guergana K Savova
    Mayo Clinic College of Medicine, Rochester, Minnesota, USA
    J Am Med Inform Assoc 17:507-13. 2010
    ..859, and 0.580, 0.939, and 0.839, respectively. Overall performance is discussed against five applications. The cTAKES annotations are the foundation for methods and modules for higher-level semantic processing of clinical free-text...
  4. ncbi Drug side effect extraction from clinical narratives of psychiatry and psychology patients
    Sunghwan Sohn
    Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, USA
    J Am Med Inform Assoc 18:i144-9. 2011
    ..To extract physician-asserted drug side effects from electronic medical record clinical narratives...
  5. ncbi Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease
    Iftikhar J Kullo
    Division of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA
    J Am Med Inform Assoc 17:568-74. 2010
    ..There is significant interest in leveraging the electronic medical record (EMR) to conduct genome-wide association studies (GWAS)...
  6. ncbi Mayo clinic smoking status classification system: extensions and improvements
    Sunghwan Sohn
    Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
    AMIA Annu Symp Proc 2009:619-23. 2009
    ..This reusability minimized the development effort. The extended system is in use to identify smoking status risk factors for a peripheral artery disease NHGRI study...
  7. ncbi Automated discovery of drug treatment patterns for endocrine therapy of breast cancer within an electronic medical record
    Guergana K Savova
    Mayo Clinic, Rochester, Minnesota, USA
    J Am Med Inform Assoc 19:e83-9. 2012
    ....
  8. ncbi Anaphoric reference in clinical reports: characteristics of an annotated corpus
    Wendy W Chapman
    Division of Biomedical Informatics, University of California, San Diego, 9500 Gillman Drive 0505, La Jolla, CA 92093, USA
    J Biomed Inform 45:507-21. 2012
    ..We annotated a set of 180 clinical reports (surgical pathology, radiology, discharge summaries, and emergency department) from two institutions to indicate all anaphor-antecedent pairs...
  9. ncbi Classification of medication status change in clinical narratives
    Sunghwan Sohn
    Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN
    AMIA Annu Symp Proc 2010:762-6. 2010
    ..We also examined the impact of balancing training data in machine learning classification when using the data from skewed class distribution...
  10. ncbi Discerning tumor status from unstructured MRI reports--completeness of information in existing reports and utility of automated natural language processing
    Lionel T E Cheng
    Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
    J Digit Imaging 23:119-32. 2010
    ..NLP demonstrated good accuracy for tumor status classification and may have novel application for automated disease status classification from electronic databases...
  11. ncbi The SHARPn project on secondary use of Electronic Medical Record data: progress, plans, and possibilities
    Christopher G Chute
    Mayo Clinic, Dept Health Sciences Research, Rochester, MN, USA
    AMIA Annu Symp Proc 2011:248-56. 2011
    ..The project is one of the four Strategic Health IT Advanced Research Projects (SHARP) projects funded by the Office of the National Coordinator in 2010...
  12. ncbi A term extraction tool for expanding content in the domain of functioning, disability, and health: proof of concept
    Marcelline R Harris
    Department of Health Services Research, Division of Medical Informatics Research, Mayo Clinic, Harwick 8 31, 200 1st St SW, Rochester, MN 55905, USA
    J Biomed Inform 36:250-9. 2003
    ....