A Multivariate Logistic Regression Model with Over Sampling for Bronchopulmonary Dysplasia Associated with Pulmonary Hypertension in Very Preterm Infants
Published in The First IEEE International Conference on Medical Artificial Intelligence (IEEE MedAI 2023), 2023
This study used multi-center clinical data and oversampling strategies to improve prediction for BPD-associated pulmonary hypertension in very preterm infants. I contributed to data collection, cleaning, model development, and comparison across machine learning methods.
Recommended citation: Wang, D., Huang, S., Cao, J., Feng, Z., Jiang, Q., Zhang, W., Chen, J., Liu, C., Liao, W., Zhang, L., Zhu, G., Guo, W., Liu, L., Yang, J., & Li, Q. (2023). A Multivariate Logistic Regression Model with Over Sampling for Bronchopulmonary Dysplasia Associated with Pulmonary Hypertension in Very Preterm Infants: A Multi-center Retrospective Study. IEEE MedAI 2023.