Jessica L. Gronsbell

13 papers Misc 2Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
PEHRT: A Common Pipeline for Harmonizing Electronic Health Record data for Translational Research.
CoRR
Jessica L. Gronsbell, Vidul Ayakulangara Panickan, Chris Lin, Thomas Charlon, Chuan Hong, Doudou Zhou, Linshanshan Wang, Jianhui Gao, Shirley Zhou, Yuan Tian, Yaqi Shi, Ziming Gan, Tianxi Cai
2025 J jnl
When Algorithms Infer Gender: Revisiting Computational Phenotyping with Electronic Health Records Data.
CoRR
Jessica L. Gronsbell, Hilary Thurston, Lillian Dong, Vanessa Ferguson, Diksha Sen Chaudhury, Braden O'Neill, Katrina S. Sha, Rebecca Bonneville
2025 J jnl
fairmetrics: An R package for group fairness evaluation.
CoRR
Benjamin Smith, Jianhui Gao, Jessica L. Gronsbell
2024 J jnl
A tutorial on fairness in machine learning in healthcare.
CoRR
Jianhui Gao, Benson Chou, Zachary R. McCaw, Hilary Thurston, Paul Varghese, Chuan Hong, Jessica L. Gronsbell
2024 J jnl
Another look at inference after prediction.
CoRR
Jessica L. Gronsbell, Jianhui Gao, Yaqi Shi, Zachary R. McCaw, David Cheng
2024 J jnl
Semi-supervised ROC analysis for reliable and streamlined evaluation of phenotyping algorithms.
J. Am. Medical Informatics Assoc.
Jianhui Gao, Clara-Lea Bonzel, Chuan Hong, Paul Varghese, Karim Zakir, Jessica L. Gronsbell
2023 J jnl
Machine learning approaches for electronic health records phenotyping: a methodical review.
J. Am. Medical Informatics Assoc.
Siyue Yang, Paul Varghese, Ellen Stephenson, Karen Tu, Jessica L. Gronsbell
2022 J jnl
Marginal Structural Models Using Calibrated Weights With SuperLearner: Application to Type II Diabetes Cohort.
IEEE J. Biomed. Health Informatics
Sumeet Kalia, Olli Saarela, Tao Chen, Braden O'Neill, Christopher Meaney, Jessica L. Gronsbell, Ervin Sejdic, Michael D. Escobar, Babak Aliarzadeh, Rahim Moineddin, Conrad Pow, Frank M. Sullivan, Michelle Greiver
2020 J jnl
Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling.
CoRR
Jessica L. Gronsbell, Molei Liu, Lu Tian, Tianxi Cai
2019 J jnl
High-throughput multimodal automated phenotyping (MAP) with application to PheWAS.
J. Am. Medical Informatics Assoc.
Katherine P. Liao, Jiehuan Sun, Tianrun A. Cai, Nicholas B. Link, Chuan Hong, Jie Huang, Jennifer E. Huffman, Jessica L. Gronsbell, Yichi Zhang, Yuk-Lam Ho, Victor M. Castro, Vivian S. Gainer, Shawn N. Murphy, Christopher J. O'Donnell, John Michael Gaziano, Kelly Cho, Peter Szolovits, Isaac S. Kohane, Sheng Yu
2018 J jnl
Enabling phenotypic big data with PheNorm.
J. Am. Medical Informatics Assoc.
Sheng Yu, Yumeng Ma, Jessica L. Gronsbell, Tianrun A. Cai, Ashwin N. Ananthakrishnan, Vivian S. Gainer, Susanne E. Churchill, Peter Szolovits, Shawn N. Murphy, Isaac S. Kohane, Katherine P. Liao, Tianxi Cai
2018 Misc conf
High-Throughput Multimodal Automated Phenotyping (MAP) Incorporating Natural Language Processing with Application to PheWAS.
AMIA
Katherine P. Liao, Jiehuan Sun, Tianrun A. Cai, Nicholas B. Link, Chuan Hong, Jie Huang, Jennifer E. Huffman, Jessica L. Gronsbell, Lauren Costa, Victor M. Castro, Vivian S. Gainer, Shawn N. Murphy, John Michael Gaziano, Kelly Cho, Peter Szolovits, Isaac S. Kohane, Sheng Yu, Tianxi Cai
2017 Misc conf
High-throughput Phenotyping via Denoised Normal Mixture Transformation.
AMIA
Sheng Yu, Yumeng Ma, Jessica L. Gronsbell, Katherine P. Liao, Tianrun A. Cai, Ashwin N. Ananthakrishnan, Vivian S. Gainer, Susanne E. Churchill, Peter Szolovits, Shawn N. Murphy, Isaac S. Kohane, Tianxi Cai