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Journal of Biomedical Informatics|February 6, 2021
Bagged random causal networks for interventional queries on observational biomedical datasetsMattia Prosperi, Yi Guo, Jiang BianJournal of the American Medical Informatics Association : JAMIA|February 17, 2021
Deep propensity network using a sparse autoencoder for estimation of treatment effectsShantanu Ghosh, Jiang Bian, Yi Guo, et al.BMC Medical Informatics and Decision Making|December 15, 2020
An ontology-based documentation of data discovery and integration process in cancer outcomes researchHansi Zhang, Yi Guo, Mattia Prosperi, et al.Research Square|February 17, 2023
Variational Temporal Deconfounder for Individualized Treatment Effect Estimation with Longitudinal Observational DataZheng Feng, Mattia Prosperi, Yi Guo, et al.Studies in Health Technology and Informatics|August 24, 2019
Exploring Lung Cancer Screening Discussions on TwitterYunpeng Zhao, Jinhai Huo, Mattia Prosperi, et al.AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 2, 2020
Mining Twitter to Assess the Determinants of Health Behavior towards Palliative Care in the United StatesYunpeng Zhao, Hansi Zhang, Jinhai Huo, et al.Journal of the American Medical Informatics Association : JAMIA|June 21, 2021
The application of artificial intelligence and data integration in COVID-19 studies: a scoping reviewYi Guo, Yahan Zhang, Tianchen Lyu, et al.BMJ Open|June 20, 2022
Protocol for the development of a reporting guideline for causal and counterfactual prediction models in biomedicineJie Xu, Yi Guo, Fei Wang, et al.Environmental Research|April 26, 2021
Semantic standards of external exposome dataHansi Zhang, Hui Hu, Matthew Diller, et al.Health Informatics Journal|January 24, 2019
Assessing the effect of data integration on predictive ability of cancer survival modelsYi Guo, Jiang Bian, Francois Modave, et al.Pageof 336