Paul Heider

Title
InstitutionMedical University of South Carolina
DepartmentBiomedical Informatics Center
AddressP.O. Box MSC 200
Suite 101
Cannon Place - 135 Cannon St.
Phone843-792-3385
ORCID ORCID Icon0000-0002-1589-4567 Additional info
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    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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    PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
    1. Pipaliya R, Heider PM, Meystre SM. Comparing Multiple Models for Section Header Classification with Feature Evaluation. Stud Health Technol Inform. 2022 Jun 06; 290:1064-1065. PMID: 35673207.
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    2. Heider PM, Pipaliya RM, Meystre SM. A Natural Language Processing Tool Offering Data Extraction for COVID-19 Related Information (DECOVRI). Stud Health Technol Inform. 2022 Jun 06; 290:1062-1063. PMID: 35673206.
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    3. Meystre SM, Heider PM, Kim Y, Davis M, Obeid J, Madory J, Alekseyenko AV. Natural language processing enabling COVID-19 predictive analytics to support data-driven patient advising and pooled testing. J Am Med Inform Assoc. 2021 12 28; 29(1):12-21. PMID: 34415311.
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    4. Kim Y, Heider PM, Lally IR, Meystre SM. A Hybrid Model for Family History Information Identification and Relation Extraction: Development and Evaluation of an End-to-End Information Extraction System. JMIR Med Inform. 2021 Apr 22; 9(4):e22797. PMID: 33885370.
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    5. Kim Y, Heider PM, Meystre SM. Comparative Study of Various Approaches for Ensemble-based De-identification of Electronic Health Record Narratives. AMIA Annu Symp Proc. 2020; 2020:648-657. PMID: 33936439.
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    6. Obeid JS, Davis M, Turner M, Meystre SM, Heider PM, O'Bryan EC, Lenert LA. An artificial intelligence approach to COVID-19 infection risk assessment in virtual visits: A case report. J Am Med Inform Assoc. 2020 08 01; 27(8):1321-1325. PMID: 32449766.
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    7. Obeid JS, Heider PM, Weeda ER, Matuskowitz AJ, Carr CM, Gagnon K, Crawford T, Meystre SM. Impact of De-Identification on Clinical Text Classification Using Traditional and Deep Learning Classifiers. Stud Health Technol Inform. 2019 Aug 21; 264:283-287. PMID: 31437930.
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    8. Heider PM, Meystre SM. Patient-Pivoted Automated Trial Eligibility Pipeline: The First of Three Phases in a Modular Architecture. Stud Health Technol Inform. 2019 Aug 21; 264:1476-1477. PMID: 31438189.
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    9. Meystre SM, Heider PM, Kim Y, Aruch DB, Britten CD. Automatic trial eligibility surveillance based on unstructured clinical data. Int J Med Inform. 2019 09; 129:13-19. PMID: 31445247.
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    10. Kim Y, Heider P, Meystre S. Ensemble-based Methods to Improve De-identification of Electronic Health Record Narratives. AMIA Annu Symp Proc. 2018; 2018:663-672. PMID: 30815108.
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    11. Orr RK, Hoehn JL, Col NF. The learning curve for sentinel node biopsy in breast cancer: practical considerations. Arch Surg. 1999 Jul; 134(7):764-7. PMID: 32477643.
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