Interpretable Machine Learning to Predict the Malignancy Risk of Follicular Thyroid Neoplasms in Extremely Unbalanced Data: Retrospective Cohort Study and Literature ReviewRui Shan, Zheng Liu, Guilan Kong et al.|JMIR Cancer|2024Cited by 10
Natural Language Processing Chatbot–Based Interventions for Improvement of Diet, Physical Activity, and Tobacco Smoking Behaviors: Systematic ReviewJing Chen, Zheng Liu, Run-Ze Hu et al.|JMIR mhealth and uhealth|2025Cited by 7
Interpretable machine learning to predict the malignancy risk of follicular thyroid neoplasms in the extremely unbalanced data: Experiences from a real-world study and literature review (Preprint)Rui Shan, Zheng Liu, Xin Li et al.|Unknown|2024Cited by 1
Size-Specific Predictors for Malignancy Risk in Follicular Thyroid Neoplasms: Machine Learning AnalysisZheng Liu, Rui Shan, Shi-Bing Song et al.|JMIR Cancer|2025Cited by 1