Jessica L. Gronsbell

According to our database, Jessica L. Gronsbell authored at least 9 papers between 2017 and 2024.

Collaborative distances:

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

2024

Semi-supervised ROC analysis for reliable and streamlined evaluation of phenotyping algorithms.

Jianhui Gao, Clara-Lea Bonzel, Chuan Hong, Paul Varghese, Karim Zakir, Jessica L. Gronsbell

J. Am. Medical Informatics Assoc., February, 2024

A tutorial on fairness in machine learning in healthcare.

Jianhui Gao, Benson Chou, Zachary R. McCaw, Hilary Thurston, Paul Varghese, Chuan Hong, Jessica L. Gronsbell

CoRR, 2024

2023

Machine learning approaches for electronic health records phenotyping: a methodical review.

Siyue Yang, Paul Varghese, Ellen Stephenson, Karen Tu, Jessica L. Gronsbell

J. Am. Medical Informatics Assoc., January, 2023

2022

Marginal Structural Models Using Calibrated Weights With SuperLearner: Application to Type II Diabetes Cohort.

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

IEEE J. Biomed. Health Informatics, 2022

2020

Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling.

Jessica L. Gronsbell, Molei Liu, Lu Tian, Tianxi Cai

CoRR, 2020

2019

High-throughput multimodal automated phenotyping (MAP) with application to PheWAS.

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, J. Michael Gaziano, Kelly Cho, Peter Szolovits, Isaac S. Kohane, Sheng Yu

J. Am. Medical Informatics Assoc., 2019

2018

Enabling phenotypic big data with PheNorm.

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

J. Am. Medical Informatics Assoc., 2018

High-Throughput Multimodal Automated Phenotyping (MAP) Incorporating Natural Language Processing with Application to PheWAS.

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, J. Michael Gaziano, Kelly Cho, Peter Szolovits, Isaac S. Kohane, Sheng Yu, Tianxi Cai

Proceedings of the AMIA 2018, 2018

2017

High-throughput Phenotyping via Denoised Normal Mixture Transformation.

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

Proceedings of the AMIA 2017, 2017