个人信息
Personal information
徐铣明
研究方向:统计和机器学习在医学中的应用与创新;医学大数据挖掘;医疗人工智能
电话:
邮箱:ximing@hospital.cqmu.edu.cn
所在科室/学科:大数据工程中心
所在教研室/教学组:应用统计
个人简介
Biography
本人现担任重庆医科大学附属儿童医院大数据工程中心PI(独立研究员)、重庆医科大学特聘副教授、硕士研究生导师。在此之前,我在南开大学大数据与统计学院任教。我于 2012 年在多伦多大学获得统计学博士学位,导师是Nancy Reid教授。我本科就读于南开大学,硕士就读于加拿大渥太华大学,师从 David Sankoff教授。我的团队(PediatriXlab, www.pediatrixlab.com)的主要研究方向是应用大数据和人工智能技术来解决儿科提出的临床问题。
科研项目
1.重庆市自然科学基金创新发展联合基金, 基于多源医疗数据的儿童发热智
能分诊大预言模型构建与验证研
究, 2025- 07-01 至 2028-6-30, 50万元, 在研, 主持;
2.国家自然科学基金委员会, 青年科学基金项目, 11701294, 大规模微生物组数据的稳健统计推断, 201 8-01-01 至 2020-12-31, 24万元, 结题, 主持 ;
3.国家自然科学基金委员会, 青年科学基金项目, 11701296, 基于结构特征和机器学习的蛋白质结构模 型评估新方法研究, 2018-01-01 至 2020-12-31, 25万元, 结题, 参与;
4.重庆市人力资源和社会保障局, 留创计划创新类项目, cx2021112, 人体微生物组数据的动态建模与统 计分析, 2021-11 至 今, 5万元, 结题, 主持。
近3年部分发表论文:
Wei, Q., Dong, W.,..., Xu, X. , Li, T. (2024).Early identification of autism spectrum disorder based on machine learning with eye-tracking data. Journal of Affective Disorders. 358, 326-334.
Zhu, Z., Liu, L., Du, M., Ye, M., Xu, X. , Xu, Y. (2024). Pediatric Sedation Assessment and Management System (PSAMS) for Pediatric Sedation in China: Development and Implementation Report. JMIR Medical Informatics. 12(1), e53427.
Wei, Q., Xiao, Y., Yang, T., ..., Xu, X. , Li, T. (2024). Predicting Autism Spectrum Disorder Using Maternal Risk Factors: A Multi-Center Machine Learning Study. Psychiatry Research, 334: 115789.
Wei, Q., Yao, Z., Cui, Y., Wei, B., Jin, Z., Xu, X. . (2024). Evaluation of ChatGPT-generated medical responses: A systematic review and meta-analysis. Journal of Biomedical Informatics, 151:104620.
Xu, L., Reid, N., Xu, X. (2023). A note on information bias and efficiency of composite likelihood. Statistica Sinica, 2023, 34: 523-526.
Xu, L., Kong, D., Wang, L., Gu, H., Kenney, T., Xu, X.(2023). Proportional stochastic generalized Lotka-Volterra model with an application to learning microbial community structures. Applied Mathematics and Computation,448:127932.
Wei, Q., Wang, Y., Yao, Z., Cui, Y., Wei, B., Li, T., Xu, X. (2023). Evaluation of ChatGPT’s performance in providing treatment recommendations for pediatric diseases. Pediatric Discovery, 1(3), e42.
Hu, S., Xu, X. , Li, C., et al. (2023). Long-term exposure to ambient ozone at workplace is positively and non-linearly associated with incident hypertension and blood pressure: longitudinal evidence from the Beijing-Tianjin-Hebei medical examination cohort. BMC Public Health, 23: 2011.(PhD student Songhua Hu is the first author)
Wei, Q., Cui, Y., Wei, B., Cheng, Q., Xu, X. (2023). Evaluating the performance of ChatGPT in differential diagnosis of neurodevelopmental disorders: A pediatricians-machine comparison. Psychiatry Research, 327: 115351.
Wei, Q., Xu, XL., Xu, X. , Cheng, Q. (2023). Early identification of autism spectrum disorder by multi-instrument fusion: A clinically applicable machine learning approach. Psychiatry Research, 320: 115050.
Xiao, L., Xu, X. , et al. (2023). Low total cholesterol predicts early death in children with hemophagocytic lymphohistiocytosis. Frontiers in Pediatrics, 10: 1006817.
Wei, Q., Cao, H., Shi, Y., Xu, X. , Li, T. (2022). Machine learning based on eye-tracking data to identify Autism Spectrum Disorder: A systematic review and meta-analysis. Journal of Biomedical Informatics, 137: 104254.
Luo, Y., Tan, L., et al. (2022). Characteristics of wild bird resistomes and dissemination of antibiotic resistance genes in interconnected bird-habitat systems revealed by similarity of blaTEM polymorphic sequences. Environmental Science & Technology, 56 (21), 15084-15095.
Li, J., An, X., Xu, X. , et al. (2022). Type O blood, the MCHC, and the reticulocyte count impact the early recurrence of primary warm-antibody autoimmune hemolytic anemia in children: a retrospective cohort analysis. Frontiers in Pediatrics, 10: 881064.
Li, Y., Xu, X. , Guo, Z., et al. (2022). Neonatal Streptococcus pneumoniae infection induces long-lasting dysbiosis of the gut microbiota in a mouse model. Frontiers in Microbiology, 13: 961684.
He, J., Hu, S., Xu, X. , et al. (2022). Association of long-term exposure to PM2. 5 in workplace with fasting plasma glucose among asymptomatic adults: A multicenter study in North China. Environment International, 166: 107353. (PhD student Songhua Hu is the co-first author)