Caitlin Dreisbach, PhD, RN, is an Assistant Professor at the University of Rochester School of Nursing with an affiliation in the Goergen Institute for Data Science. Dr. Dreisbach completed a two-year postdoc at the Columbia University Data Science Institute prior to joining the faculty.
Her research focus is on the use of data science to make better clinical assessments during pregnancy. Dr. Dreisbach is particularly interested in the co-creation of health care technologies with patients. As a former labor and delivery nurse, Dreisbach is interested in reimagining the current state of technology use during labor and delivery. In combination with the real-world experiences of birthing people, Dr. Dreisbach aims to enhance the care clinicians provide at the bedside.
Dreisbach received her PhD and Master’s in Data Science (MSDS) from the University of Virginia, her Bachelor’s in Nursing (BSN) from The Johns Hopkins University, and a Bachelor’s of Science from Cornell University.
Ford, S., Merchant, R., Pavuloori, A., Williams, R., Dreisbach, C., Saunders, A., Wernz, C., & Michel, J. (2022). Patient Phenotypes to Identify Resource Allocation and Usage in Primary Care.2022 Systems and Information Engineering Design Symposium (SIEDS). DOI: 10.1109/sieds55548.2022.9799406
Dreisbach, C., Morgan, H., Cochran, C., Gyamfi, A., Henderson, W.A., & Prescott, S. (2022). Metabolic and Microbial Changes Associated With Diet and Obesity During Pregnancy: What Can We Learn From Animal Studies?.Frontiers in Cellular and Infection Microbiology, 11. PMID: 35118010 PMCID: PMC8804207 DOI: 10.3389/fcimb.2021.795924
Fleming, M., Dondeti, P., Dreisbach, C., & Poliak, A. (2021). Fine-Tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in Tweets. . DOI: 10.48550/ARXIV.2104.05501
Barcelona, V., Montalvo-Ortiz, J.L., Wright, M.L., Nagamatsu, S.T., Dreisbach, C., Crusto, C.A., Sun, Y.V. & Taylor, J.Y. (2021). DNA methylation changes in African American women with a history of preterm birth from the InterGEN study.BMC Genomic Data, 22 (1). PMID: 34482817 PMCID: PMC8418749 DOI: 10.1186/s12863-021-00988-x
Idnay, B., Dreisbach, C., Weng, C., & Schnall, R. (2021). A systematic review on natural language processing systems for eligibility prescreening in clinical research.Journal of the American Medical Informatics Association. PMID: 34725689 PMCID: PMC8714283 DOI: 10.1093/jamia/ocab228
Prescott, S., Dreisbach, C., Baumgartel, K., Koerner, R., Gyamfi, A., Canellas, M., St. Fleur, A., Henderson, W.A., & Trinchieri, G. (2021). Impact of Intrapartum Antibiotic Prophylaxis on Offspring Microbiota.Frontiers in Pediatrics, 9. PMID: 34956974 PMCID: PMC8703107 DOI: 10.3389/fped.2021.754013
Dreisbach, C. (2021). Reimagining and Contextualizing Fetal Weight Estimation.MCN: The American Journal of Maternal/Child Nursing, 46 (6), 368-368. PMID: 34653039 DOI: 10.1097/NMC.0000000000000764
Rohan, A., Adams, E.D., Dreisbach, C., & Frederick, A. (2021). Toward Evidence-Based Practice.MCN: The American Journal of Maternal/Child Nursing, 46 (6), 364-366. DOI: 10.1097/nmc.0000000000000770
Kelsey, C. M., Prescott, S., McCulloch, J. A., Trinchieri, G., Valladares, T. L., Dreisbach, C., Alhusen, J., & Grossmann, T. (2021). Gut microbiota composition is associated with newborn functional brain connectivity and behavioral temperament.Brain, Behavior, and Immunity, 91, 472-486. PMID: 33157257 DOI: 10.1016/j.bbi.2020.11.003
Dreisbach, C., & Koleck, T. A. (2020). The State of Data Science in Genomic Nursing.Biological Research For Nursing, 109980042091599. PMID: 32266827 PMCID: PMC7492779 DOI: 10.1177/1099800420915991
(2020). The Influence of Maternal Obesity on Microbial Function and Impaired Glucose Tolerance during Pregnancy. . DOI: 10.18130/v3-pg7b-e298
Dreisbach, C., Prescott, S., & Alhusen, J. (2020). Influence of Maternal Prepregnancy Obesity and Excessive Gestational Weight Gain on Maternal and Child Gastrointestinal Microbiome Composition: A Systematic Review.Biological Research For Nursing, 109980041988061. PMID: 31597472 PMCID: PMC7140212 DOI: 10.1177/1099800419880615
Tallon, E., & Dreisbach, C. (2019). Using Data Science to Understand Complexity and Quantify Heterogeneity in the Onset and Progression of Chronic Disease.Biological Research For Nursing, 21 (5), 449-457. PMID: 31345047 DOI: 10.1177/1099800419863161
Crowder, J., Burnett, C., Laughon, K., & Dreisbach, C. (2019). Elder Abuse in American Indian Communities: An Integrative Review.Journal of Forensic Nursing, 15 (4), 250-258. PMID: 31764529 DOI: 10.1097/JFN.0000000000000259
Dreisbach, C., Koleck, T.A., Bourne, P.E., & Bakken, S. (2019). A systematic review of natural language processing and text mining of symptoms from electronic patient-authored text data.International Journal of Medical Informatics, 125, 37-46. PMID: 30914179 PMCID: PMC6438188 DOI: 10.1016/j.ijmedinf.2019.02.008
Kelsey, C., Dreisbach, C., Alhusen, Jeanne, A., & Grossmann, T. (2019). A primer on investigating the role of the microbiome in brain and cognitive development.Developmental Psychobiology, 61 (3), 341-349. PMID: 30315569 DOI: 10.1002/dev.21778
Turrentine, F.E., Dreisbach, C., St Ivany, A.R., Hanks, J.B., & Schroen, A.T. (2019). Influence of Gender on Surgical Residency Applicants’ Recommendation Letters.Journal of the American College of Surgeons, 228 (4), 356-365e3. PMID: 30630084 DOI: 10.1016/j.jamcollsurg.2018.12.020
Koleck, T.A., Dreisbach, C., Bourne, P.E., & Bakken, S. (2019). Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review.Journal of the American Medical Informatics Association, 26 (4), 364-379. PMID: 30726935 PMCID: PMC6657282 DOI: 10.1093/jamia/ocy173
Turner, A.W., Wong, D., Khan, M.D., Dreisbach, C., Palmore, M., & Miller, C.L. (2019). Multi-Omics Approaches to Study Long Non-coding RNA Function in Atherosclerosis.Frontiers in Cardiovascular Medicine, 6. PMID: 30838214 PMCID: PMC6389617 DOI: 10.3389/fcvm.2019.00009
Harrison, E., Dreisbach, C., Basit, N., & Keim-Malpass, J. (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.Frontiers in Big Data, 1. PMID: 33693319 PMCID: PMC7931899 DOI: 10.3389/fdata.2018.00003
Nobles, A.L., Dreisbach, C., Keil-Malpass, J., & Barnes, L.E. (2018). "Is this a STD? Please help!": Online Information Seeking for Sexually Transmitted Diseases on Reddit..Proceedings of the ... International AAAI Conference on Weblogs and Social Media. International AAAI Conference on Weblogs and Social Media. PMID: 30984474 PMCID: PMC6460917
Turner, A.W., Wong, D., Dreisbach, C., & Miller, C.L. (2018). GWAS Reveal Targets in Vessel Wall Pathways to Treat Coronary Artery Disease.Frontiers in Cardiovascular Medicine, 5. PMID: 29988570 PMCID: PMC6026658 DOI: 10.3389/fcvm.2018.00072
Wall, M., Dreisbach, C., Zaidi, A., Flower, A., & Overall, C. (2018). Using autoencoders and text mining to characterize single cell populations in the hippocampus and cortex.2018 Systems and Information Engineering Design Symposium (SIEDS). DOI: 10.1109/sieds.2018.8374718
Alhusen, J.L., Geller, R., Dreisbach, C., Constantoulakis, L., & Siega-Riz, A.M. (2017). Intimate Partner Violence and Gestational Weight Gain in a Population-Based Sample of Perinatal Women.Journal of Obstetric, Gynecologic & Neonatal Nursing, 46 (3), 390-402. PMID: 28294945 PMCID: PMC5423819 DOI: 10.1016/j.jogn.2016.12.003
Niederdeppe, J., Roh, S., & Dreisbach, C. (2016). How Narrative Focus and a Statistical Map Shape Health Policy Support Among State Legislators.Health Communication, 31 (2), 242-255. PMID: 26086340 DOI: 10.1080/10410236.2014.998913
