Guo, Yi

Causal inference and counterfactual prediction in machine learning for actionable healthcare

Prosperi, M., Guo, Y., Sperrin, M., Koopman, J. S., Min, J. S., He, X., Rich, S., Wang, M., Buchan, I. E., & Bian, J. (2020) · Nature Machine Intelligence

Advanced Causal Inference TechniquesMachine Learning in Healthcare

Cited by 459

A study of generative large language model for medical research and healthcare

Peng, C., Yang, X., Chen, A., Smith, K. E., PourNejatian, N., Costa, A. B., Martin, C., Flores, M. G., Zhang, Y., Magoc, T., et al. (2023) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 408

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

Mobile Apps for the Management of Diabetes

Chavez, S., Fedele, D., Guo, Y., Bernier, A., Smith, M., Warnick, J., & Modave, F. (2017) · Diabetes Care

Mobile Health and mHealth ApplicationsDiabetes Management and Education

Cited by 97

International Classification of Diseases, Tenth Revision, Clinical Modification social determinants of health codes are poorly used in electronic health records

Guo, Y., Chen, Z., Xu, K., George, T. J., Wu, Y., Hogan, W., Shenkman, E. A., & Bian, J. (2020) · Medicine

Medical Coding and Health InformationElectronic Health Records Systems

Cited by 95

Assessing the practice of data quality evaluation in a national clinical data research network through a systematic scoping review in the era of real-world data

Bian, J., Lyu, T., Loiacono, A., Viramontes, T. M., Lipori, G., Guo, Y., Wu, Y., Prosperi, M., George, T. J., Harle, C. A., et al. (2020) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsData Quality and Management

Cited by 92

Glucagon-Like Peptide-1 Receptor Agonists and Risk for Suicidal Ideation and Behaviors in U.S. Older Adults With Type 2 Diabetes: A Target Trial Emulation Study

Tang, H., Lu, Y., Donahoo, W. T., Shao, H., Shi, L., Fonseca, V. A., Guo, Y., Bian, J., & Guo, J. (2024) · Annals of Internal Medicine

Diabetes Treatment and ManagementSuicide and Self-Harm Studies

Cited by 40

Contextualized medication information extraction using Transformer-based deep learning architectures

Chen, A., Yu, Z., Yang, X., Guo, Y., Bian, J., & Wu, Y. (2023) · Journal of Biomedical Informatics

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 40

A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models

Yu, Z., Yang, X., Dang, C., Wu, S., Adekkanattu, P., Pathak, J., George, T. J., Hogan, W. R., Guo, Y., Bian, J., et al. (2021) · arXiv

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 38

Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias

Yu, Z., Peng, C., Yang, X., Dang, C., Adekkanattu, P., Gopal Patra, B., Peng, Y., Pathak, J., Wilson, D. L., Chang, C.-Y., et al. (2024) · Journal of Biomedical Informatics

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 37

Facilitation or Hindrance: Physicians’ Perception on Best Practice Alerts (BPA) Usage in an Electronic Health Record System

Chen, H., Butler, E., Guo, Y., George, T., Modave, F., Gurka, M., & Bian, J. (2019) · Health Communication

Electronic Health Records SystemsTechnology and Human Factors in Education and Health

Cited by 24

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

Identification of outcome-oriented progression subtypes from mild cognitive impairment to Alzheimer's disease using electronic health records

Xu, J., Yin, R., Huang, Y., Gao, H., Wu, Y., Guo, J., Smith, G. E., DeKosky, S. T., Wang, F., Guo, Y., et al. (2023) · medRxiv

Dementia and Cognitive Impairment ResearchMachine Learning in Healthcare

Cited by 5