Xu, Zhenxing

Deep learning in mental health outcome research: a scoping review

Su, C., Xu, Z., Pathak, J., & Wang, F. (2020) · Translational Psychiatry

Artificial Intelligence in HealthcareMachine Learning in Healthcare

Cited by 368

Data heterogeneity in federated learning with Electronic Health Records: Case studies of risk prediction for acute kidney injury and sepsis diseases in critical care

Rajendran, S., Xu, Z., Pan, W., Ghosh, A., & Wang, F. (2023) · PLOS Digital Health

Machine Learning in HealthcarePrivacy-Preserving Technologies in Data

Cited by 46

DCMN: Double Core Memory Network for Patient Outcome Prediction with Multimodal Data

Feng, Y., Xu, Z., Gan, L., Chen, N., Yu, B., Chen, T., & Wang, F. (2019) · 2019 IEEE International Conference on Data Mining (ICDM)

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 15

Identifying progression subphenotypes of Alzheimer's disease from large-scale electronic health records with machine learning

Zhou, M., Tang, A. S., Zhang, H., Xu, Z., Ke, A. M. C., Su, C., Huang, Y., Mantyh, W. G., Jaffee, M. S., Rankin, K. P., et al. (2025) · Journal of Biomedical Informatics

Dementia and Cognitive Impairment ResearchMachine Learning in Healthcare

Cited by 9