Jiang, Xiaoqian

Deep learning for healthcare: review, opportunities and challenges

Miotto, R., Wang, F., Wang, S., Jiang, X., & Dudley, J. T. (2018) · Briefings in Bioinformatics

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 3,076

Improving large language models for clinical named entity recognition via prompt engineering

Hu, Y., Chen, Q., Du, J., Peng, X., Keloth, V. K., Zuo, X., Zhou, Y., Li, Z., Jiang, X., Lu, Z., et al. (2024) · Journal of the American Medical Informatics Association

Topic ModelingBiomedical Text Mining and Ontologies

Cited by 314

Secure Logistic Regression Based on Homomorphic Encryption: Design and Evaluation

Kim, M., Song, Y., Wang, S., Xia, Y., & Jiang, X. (2018) · JMIR Medical Informatics

Cryptography and Data SecurityCloud Data Security Solutions

Cited by 257

Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review

Si, Y., Du, J., Li, Z., Jiang, X., Miller, T., Wang, F., Jim Zheng, W., & Roberts, K. (2021) · Journal of Biomedical Informatics

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 235

Privacy-Preserving Patient Similarity Learning in a Federated Environment: Development and Analysis

Lee, J., Sun, J., Wang, F., Wang, S., Jun, C.-H., & Jiang, X. (2018) · JMIR Medical Informatics

Privacy-Preserving Technologies in DataMachine Learning in Healthcare

Cited by 196

Privacy-preserving SVM classification

Vaidya, J., Yu, H., & Jiang, X. (2008) · Knowledge and Information Systems

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 178

Federated Tensor Factorization for Computational Phenotyping

Kim, Y., Sun, J., Yu, H., & Jiang, X. (2017) · Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Privacy-Preserving Technologies in DataMachine Learning in Healthcare

Cited by 128

Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States

Wang, S., Jiang, X., Singh, S., Marmor, R., Bonomi, L., Fox, D., Dow, M., & Ohno‐Machado, L. (2017) · Annals of the New York Academy of Sciences

Privacy-Preserving Technologies in DataEthics in Clinical Research

Cited by 78

Generating sequential electronic health records using dual adversarial autoencoder

Lee, D., Yu, H., Jiang, X., Rogith, D., Gudala, M., Tejani, M., Zhang, Q., & Xiong, L. (2020) · Journal of the American Medical Informatics Association

Machine Learning in HealthcarePrivacy-Preserving Technologies in Data

Cited by 66

Are synthetic clinical notes useful for real natural language processing tasks: A case study on clinical entity recognition

Li, J., Zhou, Y., Jiang, X., Natarajan, K., Pakhomov, S. V., Liu, H., & Xu, H. (2021) · Journal of the American Medical Informatics Association

Biomedical Text Mining and OntologiesTopic Modeling

Cited by 53

Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis

Ma, J., Zhang, Q., Lou, J., Ho, J. C., Xiong, L., & Jiang, X. (2019) · Proceedings of the 28th ACM International Conference on Information and Knowledge Management

Privacy-Preserving Technologies in DataTensor decomposition and applications

Cited by 51

SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization

Chuang, Y.-N., Tang, R., Jiang, X., & Hu, X. (2024) · Journal of Biomedical Informatics

Machine Learning in HealthcareTopic Modeling

Cited by 46

Distributed learning from multiple EHR databases: Contextual embedding models for medical events

Li, Z., Roberts, K., Jiang, X., & Long, Q. (2019) · Journal of Biomedical Informatics

Machine Learning in HealthcarePrivacy-Preserving Technologies in Data

Cited by 44

SCOR: A secure international informatics infrastructure to investigate COVID-19

Raisaro, J. L., Marino, F., Troncoso-Pastoriza, J., Beau-Lejdstrom, R., Bellazzi, R., Murphy, R., Bernstam, E. V., Wang, H., Bucalo, M., Chen, Y., et al. (2020) · Journal of the American Medical Informatics Association

Privacy-Preserving Technologies in DataCOVID-19 Digital Contact Tracing

Cited by 40

Harmonized representation learning on dynamic EHR graphs

Lee, D., Jiang, X., & Yu, H. (2020) · Journal of Biomedical Informatics

Machine Learning in HealthcareAdvanced Graph Neural Networks

Cited by 34

A transformer-based deep learning approach for fairly predicting post-liver transplant risk factors

Li, C., Jiang, X., & Zhang, K. (2024) · Journal of Biomedical Informatics

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 25

Generalized genomic data sharing for differentially private federated learning

Aziz, M. M. A., Anjum, M. M., Mohammed, N., & Jiang, X. (2022) · Journal of Biomedical Informatics

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 24

Addressing ethical issues in healthcare artificial intelligence using a lifecycle-informed process

Collins, B. X., Bélisle-Pipon, J.-C., Evans, B. J., Ferryman, K., Jiang, X., Nebeker, C., Novak, L., Roberts, K., Were, M., Yin, Z., et al. (2024) · JAMIA Open

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 21

COLLAGENE enables privacy-aware federated and collaborative genomic data analysis

Li, W., Kim, M., Zhang, K., Chen, H., Jiang, X., & Harmanci, A. (2023) · Genome Biology

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 16

Assessment of the timeliness and robustness for predicting adult sepsis

Guan, Y., Wang, X., Chen, X., Yi, D., Chen, L., & Jiang, X. (2021) · iScience

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 7