Cui Tao

Summary

Affiliation: Texas Medical Center
Country: USA

Publications

  1. doi request reprint Semantator: semantic annotator for converting biomedical text to linked data
    Cui Tao
    School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX 77030, United States Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN 55905, United States Electronic address
    J Biomed Inform 46:882-93. 2013
  2. pmc Harmonization and semantic annotation of data dictionaries from the Pharmacogenomics Research Network: a case study
    Qian Zhu
    Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
    J Biomed Inform 46:286-93. 2013
  3. pmc A semantic-web oriented representation of the clinical element model for secondary use of electronic health records data
    Cui Tao
    Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN 55905, USA
    J Am Med Inform Assoc 20:554-62. 2013
  4. pmc Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification
    Sunghwan Sohn
    Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA
    J Am Med Inform Assoc 20:836-42. 2013
  5. pmc Normalization and standardization of electronic health records for high-throughput phenotyping: the SHARPn consortium
    Jyotishman Pathak
    Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
    J Am Med Inform Assoc 20:e341-8. 2013
  6. pmc Unified Medical Language System term occurrences in clinical notes: a large-scale corpus analysis
    Stephen T Wu
    Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN 55905, USA
    J Am Med Inform Assoc 19:e149-56. 2012
  7. pmc Exploring the pharmacogenomics knowledge base (pharmgkb) for repositioning breast cancer drugs by leveraging web ontology language (owl) and cheminformatics approaches
    Qian Zhu
    Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
    Pac Symp Biocomput 19:172-82. 2014
  8. pmc Terminology representation guidelines for biomedical ontologies in the semantic web notations
    Cui Tao
    Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, United States
    J Biomed Inform 46:128-38. 2013
  9. pmc Time-related patient data retrieval for the case studies from the pharmacogenomics research network
    Qian Zhu
    Mayo Clinic, Rochester, MN, USA
    J Med Syst 36:S37-42. 2012
  10. pmc Ontology-based time information representation of vaccine adverse events in VAERS for temporal analysis
    Cui Tao
    Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
    J Biomed Semantics 3:13. 2012

Detail Information

Publications12

  1. doi request reprint Semantator: semantic annotator for converting biomedical text to linked data
    Cui Tao
    School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX 77030, United States Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN 55905, United States Electronic address
    J Biomed Inform 46:882-93. 2013
    ....
  2. pmc Harmonization and semantic annotation of data dictionaries from the Pharmacogenomics Research Network: a case study
    Qian Zhu
    Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
    J Biomed Inform 46:286-93. 2013
    ..This represents a critical first step toward identifying and creating data standards for pharmacogenomics studies...
  3. pmc A semantic-web oriented representation of the clinical element model for secondary use of electronic health records data
    Cui Tao
    Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN 55905, USA
    J Am Med Inform Assoc 20:554-62. 2013
    ..A panel evaluation has been conducted, and the results show that the OWL modeling can faithfully represent the CEM specification and represent patient data...
  4. pmc Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification
    Sunghwan Sohn
    Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA
    J Am Med Inform Assoc 20:836-42. 2013
    ..Temporal information detection systems have been developed by the Mayo Clinic for the 2012 i2b2 Natural Language Processing Challenge...
  5. pmc Normalization and standardization of electronic health records for high-throughput phenotyping: the SHARPn consortium
    Jyotishman Pathak
    Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
    J Am Med Inform Assoc 20:e341-8. 2013
    ..To develop scalable informatics infrastructure for normalization of both structured and unstructured electronic health record (EHR) data into a unified, concept-based model for high-throughput phenotype extraction...
  6. pmc Unified Medical Language System term occurrences in clinical notes: a large-scale corpus analysis
    Stephen T Wu
    Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN 55905, USA
    J Am Med Inform Assoc 19:e149-56. 2012
    ..To characterise empirical instances of Unified Medical Language System (UMLS) Metathesaurus term strings in a large clinical corpus, and to illustrate what types of term characteristics are generalisable across data sources...
  7. pmc Exploring the pharmacogenomics knowledge base (pharmgkb) for repositioning breast cancer drugs by leveraging web ontology language (owl) and cheminformatics approaches
    Qian Zhu
    Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
    Pac Symp Biocomput 19:172-82. 2014
    ..Our results demonstrate that combination of pharmacogenomics data and Semantic Web technology/Cheminformatics approaches yields better performance of new indication and possible adverse effects prediction for breast cancer drugs. ..
  8. pmc Terminology representation guidelines for biomedical ontologies in the semantic web notations
    Cui Tao
    Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, United States
    J Biomed Inform 46:128-38. 2013
    ..formal ontologies. We then evaluate the guidelines with a spectrum of widely used terminologies and ontologies to examine how the lexical guidelines are implemented, and whether our proposed guidelines would enhance interoperability...
  9. pmc Time-related patient data retrieval for the case studies from the pharmacogenomics research network
    Qian Zhu
    Mayo Clinic, Rochester, MN, USA
    J Med Syst 36:S37-42. 2012
    ..The SPARQL query builder has been evaluated with a simulated EHR triple store to ensure its functionalities...
  10. pmc Ontology-based time information representation of vaccine adverse events in VAERS for temporal analysis
    Cui Tao
    Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
    J Biomed Semantics 3:13. 2012
    ..abstract:..
  11. pmc Semantator: annotating clinical narratives with semantic web ontologies
    Dezhao Song
    Division of Biomedical Statistics and Informatics, Mayo Clinic 200 First Street SW, Rochester, MN 55905
    AMIA Summits Transl Sci Proc 2012:20-9. 2012
    ..We present discussions based on user experiences of using Semantator...