Caitlin N. Dreisbach

15 papers A 1Misc 3Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
AOUSDOHtools: An R Package for Social Determinants of Health Survey data in the All of Us Research Program.
J. Open Source Softw.
Zhirui Deng, Theresa A. Koleck, Chen Zhang, Peter D. R. Higgins, Caitlin N. Dreisbach
2024 — conf
Advancing Data Science Competencies for Nursing PhD Students.
Nursing Informatics
Suzanne Bakken, Caitlin N. Dreisbach, Meghan Reading Turchioe
2024 J jnl
User guide for Social Determinants of Health Survey data in the
J. Am. Medical Informatics Assoc.
Theresa A. Koleck, Caitlin N. Dreisbach, Chen Zhang, Susan Grayson, Maichou Lor, Zhirui Deng, Alex Conway, Peter D. R. Higgins, Suzanne Bakken
2023 J jnl
Clinical research staff perceptions on a natural language processing-driven tool for eligibility prescreening: An iterative usability assessment.
Int. J. Medical Informatics
Betina Ross S. Idnay, Yilu Fang, Caitlin N. Dreisbach, Karen Marder, Chunhua Weng, Rebecca Schnall
2022 J jnl
Discovering changes in birthing narratives during COVID-19.
CoRR
Daphna Spira, Noreen Mayat, Caitlin N. Dreisbach, Adam Poliak
2022 Misc conf
Optimizing Clinical Research Eligibility Prescreening: An Iterative Usability Evaluation of an NLP-driven Cohort Identification Tool.
AMIA
Betina Ross S. Idnay, Yilu Fang, Caitlin N. Dreisbach, Karen Marder, Chunhua Weng, Rebecca Schnall
2022 Misc conf
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.
AMIA
Theresa A. Koleck, Susan Grayson, Katelyn Leggio, Alex Conway, Caitlin N. Dreisbach
2021 J jnl
A systematic review on natural language processing systems for eligibility prescreening in clinical research.
J. Am. Medical Informatics Assoc.
Betina Ross S. Idnay, Caitlin N. Dreisbach, Chunhua Weng, Rebecca Schnall
2021 J jnl
Fine-Tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in Tweets.
CoRR
Max Fleming, Priyanka Dondeti, Caitlin N. Dreisbach, Adam Poliak
2021 — conf
Fine-tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in Tweets.
SMM4H@NAACL-HLT
Max Fleming, Priyanka Dondeti, Caitlin N. Dreisbach, Adam Poliak
2021 Misc conf
Informing Symptom Science Using a Citizen Science Application in the COVID-19 Pandemic.
AMIA
Caitlin N. Dreisbach, Katherine South, Theresa A. Koleck, Veronica Barcelona, Lena Mamykina, Noémie Elhadad, Suzanne Bakken
2019 J jnl
A systematic review of natural language processing and text mining of symptoms from electronic patient-authored text data.
Int. J. Medical Informatics
Caitlin N. Dreisbach, Theresa A. Koleck, Philip E. Bourne, Suzanne Bakken
2019 J jnl
Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review.
J. Am. Medical Informatics Assoc.
Theresa A. Koleck, Caitlin N. Dreisbach, Philip E. Bourne, Suzanne Bakken
2018 A conf
"Is This an STD? Please Help!": Online Information Seeking for Sexually Transmitted Diseases on Reddit.
ICWSM
Alicia L. Nobles, Caitlin N. Dreisbach, Jessica Keim-Malpass, Laura E. Barnes
2018 J jnl
An Application of Data Mining Techniques to Explore Congressional Lobbying Records for Patterns in Pediatric Special Interest Expenditures Prior to the Affordable Care Act.
Frontiers Big Data
Elizabeth Harrison, Caitlin N. Dreisbach, Nada Basit, Jessica Keim-Malpass