Under Construction: We’re still backfilling publications.
[By Year]
| Algorithmic and Clinical Bias (6) |
| Ambient Linguistic Data and Model Reuse (3) |
| De-Identification (2) |
| Discourse and Document Segmentation (1) |
| Phenotyping and Cohort Creation (4) |
| Social, Behavioral, and Family History Determinants (3) |
Algorithmic and Clinical Bias
April 1, 2024
Probing clinical NLP models for structural bias
Heider, Paul M. Probing clinical NLP models for structural bias. In 30th Annual Thomas A. Pitts Memorial Lectureship in Medical Ethics, April 2024.
April 1, 2024
Using ChatGPT and OpenAI ethically and safely in research and education
Heider, Paul M. Using ChatGPT and OpenAI ethically and safely in research and education. In DPHS Region IV Public Health Training Center, April 2024.
March 19, 2024
Risk modeling without increasing risk
Paul M. Heider, Aviv Y. Landau, Leslie A. Lenert, and Maxim Topaz. Risk modeling without increasing risk. In Panel Presented at the AMIA Informatics Summit, Boston, MA, 2024.
June 28, 2023
Algorithmic Bias in De-Identification Tools
Heider PM. Algorithmic Bias in De-Identification Tools. 1st International Workshop on Ethics and Bias of Artificial Intelligence in Clinical Applications. Houston, TX; 2023.
April 12, 2023
Implicit bias: Measuring the impact of pejorative and laudative language by clinicians on language models
Heider PM. Implicit bias: Measuring the impact of pejorative and laudative language by clinicians on language models. Invited Talk given to the Clemson/MUSC AI Hub, April 2023.
November 7, 2022
Implicit provider bias as assessed through explicit mentions of pejorative and laudative terms in MIMIC-III
Heider PM, Obeid JS, and Lenert LA. Implicit provider bias as assessed through explicit mentions of pejorative and laudative terms in MIMIC-III. In AMIA Annual Symposium, Washington, DC, USA, 2022.
Semantic Word Embeddings and Distributional Effects
Evaluation and Model Robustness
De-Identification
May 1, 2024
An extensible evaluation framework applied to clinical text deidentification natural language processing tools: Multisystem and multicorpus study
Paul M. Heider and Stéphane M. Meystre. An extensible evaluation framework applied to clinical text deidentification natural language processing tools: Multisystem and multicorpus study. J Med Internet Res, 26:e55676, May 2024. DOI: 10.2196/55676 PMID: 38805692
January 25, 2021
Comparative Study of Various Approaches for Ensemble-based De-identification of Electronic Health Record Narratives
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. 2021 Jan 25;2020:648–657. PMCID: PMC8075417
Social, Behavioral, and Family History Determinants
March 19, 2024
Risk modeling without increasing risk
Paul M. Heider, Aviv Y. Landau, Leslie A. Lenert, and Maxim Topaz. Risk modeling without increasing risk. In Panel Presented at the AMIA Informatics Summit, Boston, MA, 2024.
November 17, 2023
Initial development of tools to identify child abuse and neglect in pediatric primary care
Rochelle F. Hanson, Vivienne Zhu, Funlola Are, Hannah C. Espeleta, Elizabeth Wallis, Paul M. Heider, Marin Kautz, and Leslie A. Lenert. Initial development of tools to identify child abuse and neglect in pediatric primary care. BMC Medical Informatics and Decision Making, 23, 2023. PMID: 37978498 PMCID: PMC10656827 DOI: 10.1186/s12911-023-02361-7
November 5, 2022
Extracting Social Determinants of Health from Clinical Text with a Post-Hoc Ensemble of Off-the-shelf Models
Heider PM, Chen K, Obeid JS. Extracting Social Determinants of Health from Clinical Text with a Post-Hoc Ensemble of Off-the-shelf Models. 2022 n2c2 Shared-Task and Workshop. 2022.
Ambient Linguistic Data and Model Reuse
May 1, 2024
An extensible evaluation framework applied to clinical text deidentification natural language processing tools: Multisystem and multicorpus study
Paul M. Heider and Stéphane M. Meystre. An extensible evaluation framework applied to clinical text deidentification natural language processing tools: Multisystem and multicorpus study. J Med Internet Res, 26:e55676, May 2024. DOI: 10.2196/55676 PMID: 38805692
November 5, 2022
Extracting Social Determinants of Health from Clinical Text with a Post-Hoc Ensemble of Off-the-shelf Models
Heider PM, Chen K, Obeid JS. Extracting Social Determinants of Health from Clinical Text with a Post-Hoc Ensemble of Off-the-shelf Models. 2022 n2c2 Shared-Task and Workshop. 2022.
January 25, 2021
Comparative Study of Various Approaches for Ensemble-based De-identification of Electronic Health Record Narratives
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. 2021 Jan 25;2020:648–657. PMCID: PMC8075417
Discourse and Document Segmentation
February 23, 2023
Beyond Structure - Using Standardized Labels from a Clinical Section Ontology in Natural Language Processing
Heider PM. Beyond Structure: Using Standardized Labels from a Clinical Section Ontology in Natural Language Processing. Charleston, SC; 2023. Available from: https://ncorwiki.buffalo.edu/index.php/CTS_Ontology_Workshop_2023
Medical Concept Extraction and Normalization
NLP and Machine Learning for COVID-19
Phenotyping and Cohort Creation
March 19, 2024
Risk modeling without increasing risk
Paul M. Heider, Aviv Y. Landau, Leslie A. Lenert, and Maxim Topaz. Risk modeling without increasing risk. In Panel Presented at the AMIA Informatics Summit, Boston, MA, 2024.
November 17, 2023
Initial development of tools to identify child abuse and neglect in pediatric primary care
Rochelle F. Hanson, Vivienne Zhu, Funlola Are, Hannah C. Espeleta, Elizabeth Wallis, Paul M. Heider, Marin Kautz, and Leslie A. Lenert. Initial development of tools to identify child abuse and neglect in pediatric primary care. BMC Medical Informatics and Decision Making, 23, 2023. PMID: 37978498 PMCID: PMC10656827 DOI: 10.1186/s12911-023-02361-7
April 11, 2023
Piloting an automated clinical trial eligibility surveillance and provider alert system based on artificial intelligence and standard data models
Meystre SM, Heider PM, Cates A, Bastian G, Pittman T, Gentilin S, Kelechi TJ. Piloting an automated clinical trial eligibility surveillance and provider alert system based on artificial intelligence and standard data models. BMC Medical Research Methodology. 2023 Apr 11;23(1):88. DOI: 10.1186/s12874-023-01916-6 PMID: 37041475 PMCID: PMC10088225
April 1, 2023
Piloting an automated clinical trial eligibility surveillance and provider alert system based on artificial intelligence and standard data models
Stéphane M. Meystre, Paul M. Heider, Andrew Cates, Grace Bastian, Tara Pittman, Stephanie Gentilin, and Teresa J. Kelechi. Piloting an automated clinical trial eligibility surveillance and provider alert system based on artificial intelligence and standard data models. BMC Medical Research Methodology, 23(1):88, April 2023.