Xu, Jie

Federated Learning for Healthcare Informatics

Xu, J., Glicksberg, B. S., Su, C., Walker, P., Bian, J., & Wang, F. (2021) · Journal of Healthcare Informatics Research

Privacy-Preserving Technologies in DataMachine Learning in Healthcare

Cited by 1,542

Federated Learning for Healthcare Informatics

Xu, J., Glicksberg, B. S., Su, C., Walker, P., Bian, J., & Wang, F. (2019) · arXiv

Privacy-Preserving Technologies in DataMachine Learning in Healthcare

Cited by 1,538

Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19

Vaid, A., Jaladanki, S. K., Xu, J., Teng, S., Kumar, A., Lee, S., Somani, S., Paranjpe, I., Freitas, J. K. D., Wanyan, T., et al. (2020) · JMIR Medical Informatics

Machine Learning in HealthcarePrivacy-Preserving Technologies in Data

Cited by 253

Algorithmic fairness in computational medicine

Xu, J., Xiao, Y., Wang, W. H., Ning, Y., Shenkman, E. A., Bian, J., & Wang, F. (2022) · eBioMedicine

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 170

Early prediction of Alzheimer's disease and related dementias using real-world electronic health records

Li, Q., Yang, X., Xu, J., Guo, Y., He, X., Hu, H., Lyu, T., Marra, D., Miller, A., Smith, G., et al. (2023) · Alzheimer's & Dementia

Machine Learning in HealthcareDementia and Cognitive Impairment Research

Cited by 113

A translational perspective towards clinical AI fairness

Liu, M., Ning, Y., Teixayavong, S., Mertens, M., Xu, J., Ting, D. S. W., Cheng, L. T.-E., Ong, J. C. L., Teo, Z. L., Tan, T. F., et al. (2023) · npj Digital Medicine

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 82

High-throughput target trial emulation for Alzheimer’s disease drug repurposing with real-world data

Zang, C., Zhang, H., Xu, J., Zhang, H., Fouladvand, S., Havaldar, S., Cheng, F., Chen, K., Chen, Y., Glicksberg, B. S., et al. (2023) · Nature Communications

Advanced Causal Inference TechniquesAlzheimer's disease research and treatments

Cited by 69

Ablating N‐acetylaspartate prevents leukodystrophy in a Canavan disease model

Guo, F., Bannerman, P., Mills Ko, E., Miers, L., Xu, J., Burns, T., Li, S., Freeman, E., McDonough, J. A., & Pleasure, D. (2015) · Annals of Neurology

Metabolism and Genetic DisordersAmino Acid Enzymes and Metabolism

Cited by 52

Federated learning with multi-cohort real-world data for predicting the progression from mild cognitive impairment to Alzheimer's disease

Pan, J., Fan, Z., Smith, G. E., Guo, Y., Bian, J., & Xu, J. (2025) · Alzheimer's & Dementia

Machine Learning in HealthcareDementia and Cognitive Impairment Research

Cited by 19

Protocol for the development of a reporting guideline for causal and counterfactual prediction models in biomedicine

Xu, J., Guo, Y., Wang, F., Xu, H., Lucero, R., Bian, J., & Prosperi, M. (2022) · BMJ Open

Meta-analysis and systematic reviewsAdvanced Causal Inference Techniques

Cited by 6