Jorge R Herskovic

Summary

Affiliation: Texas Medical Center
Country: USA

Publications

  1. pmc Graph-based signal integration for high-throughput phenotyping
    Jorge R Herskovic
    School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
    BMC Bioinformatics 13:S2. 2012
  2. pmc Optimized dual threshold entity resolution for electronic health record databases--training set size and active learning
    Erel Joffe
    School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX
    AMIA Annu Symp Proc 2013:721-30. 2013
  3. pmc Deterministic binary vectors for efficient automated indexing of MEDLINE/PubMed abstracts
    Manuel Wahle
    The University of Texas Health Science Center at Houston, School of Biomedical Informatics, USA
    AMIA Annu Symp Proc 2012:940-9. 2012
  4. pmc Predicting biomedical document access as a function of past use
    J Caleb Goodwin
    School of Biomedical Informatics, The University of Texas Health Science Center, Houston, Texas 77030, USA
    J Am Med Inform Assoc 19:473-8. 2012
  5. pmc A benchmark comparison of deterministic and probabilistic methods for defining manual review datasets in duplicate records reconciliation
    Erel Joffe
    School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USA
    J Am Med Inform Assoc 21:97-104. 2014
  6. pmc SYFSA: a framework for systematic yet flexible systems analysis
    Todd R Johnson
    The University of Texas School of Biomedical Informatics at Houston, 7000 Fannin Suite 600, Houston, TX 77030, USA
    J Biomed Inform 46:665-75. 2013
  7. pmc MEDRank: using graph-based concept ranking to index biomedical texts
    Jorge R Herskovic
    School of Biomedical Informatics, The University of Texas Health Science Center at Houston, United States
    Int J Med Inform 80:431-41. 2011
  8. pmc Automated medication reconciliation and complexity of care transitions
    Pamela A Bozzo Silva
    School of Biomedical Informatics, The University of Texas Health Science Center at Houston, TX, USA
    AMIA Annu Symp Proc 2011:1252-60. 2011

Collaborators

Detail Information

Publications8

  1. pmc Graph-based signal integration for high-throughput phenotyping
    Jorge R Herskovic
    School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
    BMC Bioinformatics 13:S2. 2012
    ..In this paper, we automatically construct a graphical knowledge model and then use it to phenotype breast cancer patients. We compare the performance of this approach to using MetaMap when labeling records...
  2. pmc Optimized dual threshold entity resolution for electronic health record databases--training set size and active learning
    Erel Joffe
    School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX
    AMIA Annu Symp Proc 2013:721-30. 2013
    ..Active learning achieved comparable results with 3,000 records. Automated optimization is effective and targeted sampling can reduce the required training set size. ..
  3. pmc Deterministic binary vectors for efficient automated indexing of MEDLINE/PubMed abstracts
    Manuel Wahle
    The University of Texas Health Science Center at Houston, School of Biomedical Informatics, USA
    AMIA Annu Symp Proc 2012:940-9. 2012
    ..The increased capacity demonstrated by binary vectors has implications for information retrieval, and the elimination of the need to retain term vectors facilitates distributed implementations, enhancing the scalability of RI...
  4. pmc Predicting biomedical document access as a function of past use
    J Caleb Goodwin
    School of Biomedical Informatics, The University of Texas Health Science Center, Houston, Texas 77030, USA
    J Am Med Inform Assoc 19:473-8. 2012
    ..To determine whether past access to biomedical documents can predict future document access...
  5. pmc A benchmark comparison of deterministic and probabilistic methods for defining manual review datasets in duplicate records reconciliation
    Erel Joffe
    School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USA
    J Am Med Inform Assoc 21:97-104. 2014
    ..We compared the performance of common ER algorithms: using algorithmic optimization, rather than manual parameter tuning, and on two-threshold classification (match/manual review/non-match) as well as single-threshold (match/non-match)...
  6. pmc SYFSA: a framework for systematic yet flexible systems analysis
    Todd R Johnson
    The University of Texas School of Biomedical Informatics at Houston, 7000 Fannin Suite 600, Houston, TX 77030, USA
    J Biomed Inform 46:665-75. 2013
    ..We also describe several information-theoretic measures of flexibility that can be used to compare alternative designs, and to measure how efficiently a system supports a given task, the relative cognitive workload, and learnability. ..
  7. pmc MEDRank: using graph-based concept ranking to index biomedical texts
    Jorge R Herskovic
    School of Biomedical Informatics, The University of Texas Health Science Center at Houston, United States
    Int J Med Inform 80:431-41. 2011
    ..NLM indexers are assisted by a system called the Medical Text Indexer (MTI) that suggests candidate indexing terms...
  8. pmc Automated medication reconciliation and complexity of care transitions
    Pamela A Bozzo Silva
    School of Biomedical Informatics, The University of Texas Health Science Center at Houston, TX, USA
    AMIA Annu Symp Proc 2011:1252-60. 2011
    ..Our study did not have sufficient statistical power to establish whether the kind of transition affects reconcilability. We conclude that automated reconciliation is possible and will help accomplish the NPSG...