Paul M. Heider

According to our database, Paul M. Heider authored at least 21 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Representing and utilizing clinical textual data for real world studies: An OHDSI approach.

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

J. Biomed. Informatics, June, 2023

High Accuracy Open-Source Clinical Data De-Identification: The CliniDeID Solution.

Stéphane M. Meystre, Paul M. Heider

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Algorithmic Bias in De-Identification Tools.

Paul M. Heider

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

2022

Implicit Provider Bias as Assessed through Explicit Mentions of Pejorative and Laudative Terms in MIMIC-III.

Paul M. Heider, Jihad S. Obeid, Leslie Lenert

Proceedings of the AMIA 2022, 2022

Post-Hoc Ensemble Generation for Clinical NLP: A Study of Concept Recognition, Normalization, and Context Attributes.

Paul M. Heider, Kexin Chen, Ronak Pipaliya, Stéphane M. Meystre

Proceedings of the AMIA 2022, 2022

2021

Natural language processing enabling COVID-19 predictive analytics to support data-driven patient advising and pooled testing.

Stéphane M. Meystre, Paul M. Heider, Youngjun Kim, Matthew Davis, Jihad S. Obeid, James E. Madory, Alexander V. Alekseyenko

J. Am. Medical Informatics Assoc., 2021

Comparing Multiple Models for Section Header Classification with Feature Evaluation.

Ronak Pipaliya, Paul M. Heider, Stéphane M. Meystre

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

A Natural Language Processing Tool Offering Data Extraction for COVID-19 Related Information (DECOVRI).

Paul M. Heider, Ronak M. Pipaliya, Stéphane M. Meystre

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Natural Language Processing and COVID-19 Predictive Analytics to Enable and Optimize SARS-CoV-2 Pooled Testing.

Stéphane M. Meystre, Paul M. Heider, Jihad S. Obeid, Alexander V. Alekseyenko, James E. Madory

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Clinical Concept Extraction Using Contextual String Embeddings.

Youngjun Kim, Paul M. Heider, Stéphane M. Meystre

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Evaluating the Downstream Performance Impact of Various Common Off-the-Shelf Clinical NLP Components.

Paul M. Heider, Stéphane M. Meystre

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Overview and Descriptive Analysis of a New Ontology for Normalizing Section Types in Unstructured Clinical Notes.

Paul M. Heider, Stéphane M. Meystre

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

An artificial intelligence approach to COVID-19 infection risk assessment in virtual visits: A case report.

Jihad S. Obeid, Matthew Davis, Matthew Turner, Stéphane M. Meystre, Paul M. Heider, Edward C. O'Bryan, Leslie A. Lenert

J. Am. Medical Informatics Assoc., 2020

Comparative Study of Various Approaches for Ensemble-based De-identification of Electronic Health Record Narratives.

Youngjun Kim, Paul M. Heider, Stéphane M. Meystre

Proceedings of the AMIA 2020, 2020

A Meta-Analysis of Medical Concept Normalization Using Hierarchical Ontological Relations and Semantic Types.

Paul M. Heider, Youngjun Kim, Stéphane M. Meystre

Proceedings of the AMIA 2020, 2020

2019

Automatic trial eligibility surveillance based on unstructured clinical data.

Stéphane M. Meystre, Paul M. Heider, Youngjun Kim, Daniel B. Aruch, Carolyn D. Britten

Int. J. Medical Informatics, 2019

Impact of De-Identification on Clinical Text Classification Using Traditional and Deep Learning Classifiers.

Jihad S. Obeid, Paul M. Heider, Erin R. Weeda, Andrew J. Matuskowitz, Christine M. Carr, Kevin Gagnon, Tami L. Crawford, Stéphane M. Meystre

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Patient-Pivoted Automated Trial Eligibility Pipeline: The First of Three Phases in a Modular Architecture.

Paul M. Heider, Stéphane M. Meystre

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

2018

Clinical Text Automatic De-Identification to Support Large Scale Data Reuse and Sharing: Pilot Results.

Stéphane M. Meystre, Paul M. Heider, Youngjun Kim, Andrew Trice, Gary Underwood

Proceedings of the AMIA 2018, 2018

Ensemble-based Methods to Improve De-identification of Electronic Health Record Narratives.

Youngjun Kim, Paul M. Heider, Stéphane M. Meystre

Proceedings of the AMIA 2018, 2018

2009

Making Semantic Topicality Robust Through Term Abstraction.

Paul M. Heider, Rohini K. Srihari

Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions, 2009