Our Research and Technology
Demo for improving predictive modeling with data augmentation
Demo for improving predictive modeling with data augmentation
Demo for improving predictive modeling with data augmentation
This is a demonstration of how Medisyn's data augmentation can enhance predictive modeling.
Generate structured patient records
Demo for improving predictive modeling with data augmentation
Demo for improving predictive modeling with data augmentation
Choi, Edward, Siddharth Biswal, Bradley Malin, Jon Duke, Walter F. Stewart, and Jimeng Sun. 2017. “Generating Multi-Label Discrete Patient Records Using Generative Adversarial Networks.” In Proceedings of the 2nd Machine Learning for Healthcare Conference https://arxiv.org/abs/1703.06490
Generate longitudinal patient records using RNN + GAN
Demo for improving predictive modeling with data augmentation
Generate longitudinal patient records using conditional variational autoencoder
Zhang, Ziqi, Chao Yan, Thomas A. Lasko, Jimeng Sun, and Bradley A. Malin. 2020. “SynTEG: A Framework for Temporal Structured Electronic Health Data Simulation.” Journal of the American Medical Informatics Association: JAMIA, November. https://doi.org/10.1093/jamia/ocaa262.
Generate longitudinal patient records using conditional variational autoencoder
Generate longitudinal patient records using conditional variational autoencoder
Generate longitudinal patient records using conditional variational autoencoder
Biswal, Siddharth, Soumya Ghosh, Jon Duke, Bradley Malin, Walter Stewart, Cao Xiao, and Jimeng Sun. 2021. “EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders.” In Proceedings of the 6th Machine Learning for Healthcare Conference https://arxiv.org/pdf/2012.10020.pdf
Data augmentation for rare disease detection
Generate longitudinal patient records using conditional variational autoencoder
Data augmentation for rare disease detection
Cui, Limeng, Siddharth Biswal, Lucas M. Glass, Greg Lever, Jimeng Sun, and Cao Xiao. 2020. “CONAN: Complementary Pattern Augmentation for Rare Disease Detection.” Proceedings of the AAAI Conference on Artificial Intelligence 34 (01): 614–21. https://arxiv.org/abs/1911.13232
Clinical report generation
Generate longitudinal patient records using conditional variational autoencoder
Data augmentation for rare disease detection
Biswal, Siddharth, Cao Xiao, Lucas M. Glass, Brandon Westover, and Jimeng Sun. 2020. “CLARA: Clinical Report Auto-Completion.” In Proceedings of The Web Conference 2020, 541–50. WWW ’20.
Generate multi-model data (x-ray images + report)
Generate multi-model data (x-ray images + report)
Generate multi-model data (x-ray images + report)
Biswal, Siddharth, Peiye Zhuang, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, and Jimeng Sun. 2022. “EMIXER: End-to-End Multimodal X-Ray Generation via Self-Supervision.” Machine Learning for Healthcare Conference http://arxiv.org/abs/2007.05597.