Caitlin N. Dreisbach

According to our database, Caitlin N. Dreisbach authored at least 13 papers between 2018 and 2024.

Collaborative distances:

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

2024

User guide for Social Determinants of Health Survey data in the <i>All of Us</i> Research Program.

Theresa A. Koleck, Caitlin N. Dreisbach, Chen Zhang, Susan Grayson, Maichou Lor, Zhirui Deng, Alex Conway, Peter D. R. Higgins, Suzanne Bakken

J. Am. Medical Informatics Assoc., 2024

Advancing Data Science Competencies for Nursing PhD Students.

Suzanne Bakken, Caitlin N. Dreisbach, Meghan Reading Turchioe

Proceedings of the Innovation in Applied Nursing Informatics, 2024

2023

Clinical research staff perceptions on a natural language processing-driven tool for eligibility prescreening: An iterative usability assessment.

Betina Ross S. Idnay, Yilu Fang, Caitlin N. Dreisbach, Karen Marder, Chunhua Weng, Rebecca Schnall

Int. J. Medical Informatics, March, 2023

2022

Discovering changes in birthing narratives during COVID-19.

Daphna Spira, Noreen Mayat, Caitlin N. Dreisbach, Adam Poliak

CoRR, 2022

Symptom Phenotypes and Predictors of Unrelieved Symptoms in Individuals with Chronic Conditions: A Cross-sectional Analysis of the All of Us Research Program Survey Data.

Theresa A. Koleck, Susan Grayson, Katelyn Leggio, Alex Conway, Caitlin N. Dreisbach

Proceedings of the AMIA 2022, 2022

Optimizing Clinical Research Eligibility Prescreening: An Iterative Usability Evaluation of an NLP-driven Cohort Identification Tool.

Betina Ross S. Idnay, Yilu Fang, Caitlin N. Dreisbach, Karen Marder, Chunhua Weng, Rebecca Schnall

Proceedings of the AMIA 2022, 2022

2021

A systematic review on natural language processing systems for eligibility prescreening in clinical research.

Betina Ross S. Idnay, Caitlin N. Dreisbach, Chunhua Weng, Rebecca Schnall

J. Am. Medical Informatics Assoc., 2021

Fine-tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in Tweets.

Max Fleming, Priyanka Dondeti, Caitlin N. Dreisbach, Adam Poliak

Proceedings of the Sixth Social Media Mining for Health Workshop and Shared Task, 2021

Informing Symptom Science Using a Citizen Science Application in the COVID-19 Pandemic.

Caitlin N. Dreisbach, Katherine South, Theresa A. Koleck, Veronica Barcelona, Lena Mamykina, Noémie Elhadad, Suzanne Bakken

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

2019

Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review.

Theresa A. Koleck, Caitlin N. Dreisbach, Philip E. Bourne, Suzanne Bakken

J. Am. Medical Informatics Assoc., 2019

A systematic review of natural language processing and text mining of symptoms from electronic patient-authored text data.

Caitlin N. Dreisbach, Theresa A. Koleck, Philip E. Bourne, Suzanne Bakken

Int. J. Medical Informatics, 2019

2018

An Application of Data Mining Techniques to Explore Congressional Lobbying Records for Patterns in Pediatric Special Interest Expenditures Prior to the Affordable Care Act.

Elizabeth Harrison, Caitlin N. Dreisbach, Nada Basit, Jessica Keim-Malpass

Frontiers Big Data, 2018

"Is This an STD? Please Help!": Online Information Seeking for Sexually Transmitted Diseases on Reddit.

Alicia L. Nobles, Caitlin N. Dreisbach, Jessica Keim-Malpass, Laura E. Barnes

Proceedings of the Twelfth International Conference on Web and Social Media, 2018