Inyoung Jun

According to our database, Inyoung Jun authored at least 4 papers between 2021 and 2023.

Collaborative distances:

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

2023

Optimizing Dynamic Antibiotic Treatment Strategies against Invasive Methicillin-Resistant Staphylococcus Aureus Infections using Causal Survival Forests and G-Formula on Statewide Electronic Health Record Data.

Inyoung Jun, Scott A. Cohen, Sarah E. Ser, Simone Marini, Robert J. Lucero, Jiang Bian, Mattia Prosperi

Proceedings of the KDD'23 Workshop on Causal Discovery, 2023

Quantification of Racial Disparity on Urinary Tract Infection Recurrence and Treatment Resistance in Florida using Algorithmic Fairness Methods.

Inyoung Jun, Sarah E. S. Leary, Jie Xu, Jiang Bian, Mattia Prosperi

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

2022

Joint Application of the Target Trial Causal Framework and Machine Learning Modeling to Optimize Antibiotic Therapy: Use Case on Acute Bacterial Skin and Skin Structure Infections due to Methicillin-resistant Staphylococcus aureus.

Inyoung Jun, Simone Marini, Christina Boucher, J. Glenn Morris, Jiang Bian, Mattia Prosperi

CoRR, 2022

2021

Challenges in replicating secondary analysis of electronic health records data with multiple computable phenotypes: A case study on methicillin-resistant <i>Staphylococcus aureus</i> bacteremia infections.

Inyoung Jun, Shannan N. Rich, Zhaoyi Chen, Jiang Bian, Mattia Prosperi

Int. J. Medical Informatics, 2021