My research training focuses on clinical epidemiology, biostatistics, and machine learning, with substantial experience in infectious disease research.
Journal articles
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Lu Z, Zou J, Zhang H, et al. A machine learning model for predicting adverse prognostic events in patients with neurosyphilis: results from the DEFEAT-NS study. iScience 2026: 115104.
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Lu Z, Dong B, Cai H, et al. Identifying Data-Driven Clinical Subgroups for Cervical Cancer Prevention With Machine Learning: Population-Based, External, and Diagnostic Validation Study. JMIR Public Health Surveill 2025; 11: e67840.
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Lu Z, Dong B, Yao P, et al. Characteristics of Human Papillomavirus Prevalence and Infection Patterns Among Women Aged 35-65 in Fujian Province, China: A Nine-Year Retrospective Observational Study. J Med Virol 2025; 97(2): e70238.
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Dong B, Lu Z, Yang T, et al. Development, validation, and clinical application of a machine learning model for risk stratification and management of cervical cancer screening based on full-genotyping hrHPV test (SMART-HPV): a modelling study. Lancet Reg Health West Pac 2025; 55: 101480.
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Yang L, Lu Z, Bian J, Li F, Zou H. Association between chronic viral infection-related hospitalization and risk of cardiovascular disease: A population-based cohort study. J Med Virol 2024; 96(1): e29350.
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Zou H, Lu Z, Weng W, et al. Diagnosis of neurosyphilis in HIV-negative patients with syphilis: development, validation, and clinical utility of a suite of machine learning models. EClinicalMedicine 2023; 62: 102080.
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Lu Z, Fu L, Yang L, et al. Hesitancy to Undergo SARS-CoV-2 Rapid Antigen Testing in China: Nationwide Cross-sectional Study. JMIR Public Health Surveill 2023; 9: e43555.
Reviews
Selected seminar papers
Translations and notes
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Lu, Z. (2025). 深度学习笔记 (1 ed.). https://lulab-sysu.github.io/dl_notes/
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Lu, Z. (2025). R for Data Science (2e) 中文版 (1 ed.). https://openbiostat.github.io/R-for-Data-Science-2e-Chinese/
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Lu, Z. (2024). Causal Inference in R 中文版 (1 ed.). https://lulab-sysu.github.io/Causal-Inference-in-R-Chinese/