Paul M. Heider

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 20

Top Topics

Natural Language Processing

Top Venues

J. Am. Medical Informatics Assoc.

Publications

Stéphane M. Meystre, Paul M. Heider
High Accuracy Open-Source Clinical Data De-Identification: The CliniDeID Solution. MedInfo (2023)
Paul M. Heider
Algorithmic Bias in De-Identification Tools. ICHI (2023)
Vipina Kuttichi Keloth, Juan M. Banda, Michael J. Gurley, Paul M. Heider, Georgina Kennedy, Hongfang Liu, Feifan Liu, Timothy A. Miller, Karthik Natarajan, Olga V. Patterson, Yifan Peng, Kalpana Raja, Ruth M. Reeves, Masoud Rouhizadeh, Jianlin Shi, Xiaoyan Wang, Yanshan Wang, Wei-Qi Wei, Andrew E. Williams, Rui Zhang, Rimma Belenkaya, Christian G. Reich, Clair Blacketer, Patrick B. Ryan, George Hripcsak, Noémie Elhadad, Hua Xu
Representing and utilizing clinical textual data for real world studies: An OHDSI approach. J. Biomed. Informatics 142 (2023)
Paul M. Heider, Kexin Chen, Ronak Pipaliya, Stéphane M. Meystre
Post-Hoc Ensemble Generation for Clinical NLP: A Study of Concept Recognition, Normalization, and Context Attributes. AMIA (2022)
Paul M. Heider, Jihad S. Obeid, Leslie Lenert
Implicit Provider Bias as Assessed through Explicit Mentions of Pejorative and Laudative Terms in MIMIC-III. AMIA (2022)
Paul M. Heider, Stéphane M. Meystre
Overview and Descriptive Analysis of a New Ontology for Normalizing Section Types in Unstructured Clinical Notes. AMIA (2021)
Stéphane M. Meystre, Paul M. Heider, Youngjun Kim, Matthew Davis, Jihad S. Obeid, James E. Madory, Alexander V. Alekseyenko
Natural language processing enabling COVID-19 predictive analytics to support data-driven patient advising and pooled testing. J. Am. Medical Informatics Assoc. 29 (1) (2021)
Stéphane M. Meystre, Paul M. Heider, Jihad S. Obeid, Alexander V. Alekseyenko, James E. Madory
Natural Language Processing and COVID-19 Predictive Analytics to Enable and Optimize SARS-CoV-2 Pooled Testing. AMIA (2021)
Paul M. Heider, Stéphane M. Meystre
Evaluating the Downstream Performance Impact of Various Common Off-the-Shelf Clinical NLP Components. AMIA (2021)
Ronak Pipaliya, Paul M. Heider, Stéphane M. Meystre
Comparing Multiple Models for Section Header Classification with Feature Evaluation. MedInfo (2021)
Paul M. Heider, Ronak M. Pipaliya, Stéphane M. Meystre
A Natural Language Processing Tool Offering Data Extraction for COVID-19 Related Information (DECOVRI). MedInfo (2021)
Youngjun Kim, Paul M. Heider, Stéphane M. Meystre
Clinical Concept Extraction Using Contextual String Embeddings. AMIA (2021)
Youngjun Kim, Paul M. Heider, Stéphane M. Meystre
Comparative Study of Various Approaches for Ensemble-based De-identification of Electronic Health Record Narratives. AMIA (2020)
Paul M. Heider, Youngjun Kim, Stéphane M. Meystre
A Meta-Analysis of Medical Concept Normalization Using Hierarchical Ontological Relations and Semantic Types. AMIA (2020)
Jihad S. Obeid, Matthew Davis, Matthew Turner, Stéphane M. Meystre, Paul M. Heider, Edward C. O'Bryan, Leslie A. Lenert
An artificial intelligence approach to COVID-19 infection risk assessment in virtual visits: A case report. J. Am. Medical Informatics Assoc. 27 (8) (2020)
Stéphane M. Meystre, Paul M. Heider, Youngjun Kim, Daniel B. Aruch, Carolyn D. Britten
Automatic trial eligibility surveillance based on unstructured clinical data. Int. J. Medical Informatics 129 (2019)
Paul M. Heider, Stéphane M. Meystre
Patient-Pivoted Automated Trial Eligibility Pipeline: The First of Three Phases in a Modular Architecture. MedInfo (2019)
Jihad S. Obeid, Paul M. Heider, Erin R. Weeda, Andrew J. Matuskowitz, Christine M. Carr, Kevin Gagnon, Tami L. Crawford, Stéphane M. Meystre
Impact of De-Identification on Clinical Text Classification Using Traditional and Deep Learning Classifiers. MedInfo (2019)
Stéphane M. Meystre, Paul M. Heider, Youngjun Kim, Andrew Trice, Gary Underwood
Clinical Text Automatic De-Identification to Support Large Scale Data Reuse and Sharing: Pilot Results. AMIA (2018)
Youngjun Kim, Paul M. Heider, Stéphane M. Meystre
Ensemble-based Methods to Improve De-identification of Electronic Health Record Narratives. AMIA (2018)
Paul M. Heider, Rohini K. Srihari
Making Semantic Topicality Robust Through Term Abstraction. SEW@NAACL-HLT (2009)