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2020 – today
- 2023
[j4]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: 104343 (2023)- [c17]Paul M. Heider:
Algorithmic Bias in De-Identification Tools. ICHI 2023: 712-713 - [c16]Stéphane M. Meystre, Paul M. Heider:
High Accuracy Open-Source Clinical Data De-Identification: The CliniDeID Solution. MedInfo 2023: 1370-1371 - 2022
- [c15]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 - [c14]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 - 2021
- [j3]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): 12-21 (2021) - [c13]Paul M. Heider, Stéphane M. Meystre:
Overview and Descriptive Analysis of a New Ontology for Normalizing Section Types in Unstructured Clinical Notes. AMIA 2021 - [c12]Paul M. Heider, Stéphane M. Meystre:
Evaluating the Downstream Performance Impact of Various Common Off-the-Shelf Clinical NLP Components. AMIA 2021 - [c11]Youngjun Kim, Paul M. Heider, Stéphane M. Meystre:
Clinical Concept Extraction Using Contextual String Embeddings. AMIA 2021 - [c10]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 - [c9]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: 1062-1063 - [c8]Ronak Pipaliya, Paul M. Heider, Stéphane M. Meystre:
Comparing Multiple Models for Section Header Classification with Feature Evaluation. MedInfo 2021: 1064-1065 - 2020
- [j2]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): 1321-1325 (2020) - [c7]Paul M. Heider, Youngjun Kim, Stéphane M. Meystre:
A Meta-Analysis of Medical Concept Normalization Using Hierarchical Ontological Relations and Semantic Types. AMIA 2020 - [c6]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
2010 – 2019
- 2019
- [j1]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: 13-19 (2019) - [c5]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: 283-287 - [c4]Paul M. Heider, Stéphane M. Meystre:
Patient-Pivoted Automated Trial Eligibility Pipeline: The First of Three Phases in a Modular Architecture. MedInfo 2019: 1476-1477 - 2018
- [c3]Youngjun Kim, Paul M. Heider, Stéphane M. Meystre:
Ensemble-based Methods to Improve De-identification of Electronic Health Record Narratives. AMIA 2018 - [c2]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
2000 – 2009
- 2009
- [c1]Paul M. Heider, Rohini K. Srihari:
Making Semantic Topicality Robust Through Term Abstraction. SEW@NAACL-HLT 2009: 46-51
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