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四川大学华西生物医学大数据研究院
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朱婷
简介
四川大学华西生物医学大数据中心副研究员。四川大学华西医院博士后,美国哥伦比亚大学联合培养博士,香港理工大学和香港城市大学访问学者。主要从事研究:数据挖掘、医学信息学、医院管理与卫生政策。在Transl Psychiatry, Depress Anxiety, Knowl-Based Syst, J Clean Prod等期刊以第一/通讯作者发表SCI论文15篇,主持国家自然科学基金项目2项、四川省科技厅项目2项。以主要完成人获得四川省科技进步二等奖、社会科学优秀成果三等奖,指导学生获得大学生创业计划竞赛铜奖。
研究方向:
数据挖掘、医学信息学、医院管理与卫生政策
研究成果
[1] 国家自然科学基金委——面上项目,72474146,数据与知识协同驱动的抑郁症用药方案决策优化研究,2025/01-2028/12,41万元,在研,主持
[2] 国家自然科学基金委——青年科学基金项目,72104160,多源数据环境下抑郁症“诊疗-疗效”动态协同模式挖掘及优化研究,2022/01-2024/12,30万元,在研,主持
[3] 四川省自然科学基金青年项目,2024NSFSC1078,基于大数据智能的抑郁症“诊疗-疗效”模式挖掘与决策支持关键技术研究,2024/01–2025/12,10万元,在研,主持
[4] 四川省科技厅科技计划——重点研发(重大科技专项)项目,2019YFS0276,价值链视角下抑郁症诊疗优化与质效评价体系研究,2019/01–2022/01,20万元,结题,主持
文章发表
(1) Ting Zhu, Ran Kou, Di Mu, et al. Predicting conversion from unipolar depression to bipolar disorder and schizophrenia: A 10-year retrospective cohort study on 12182 inpatients [J]. Depression and Anxiety, 2025, 10.1155/da/4048082. (SCI检索,川大B级,HXB级,JCR一区,IF:7.4)
(2) Ting Zhu, Di Mu, Yao Hu, et al. Association of clinical phenotypes of depression with comorbid conditions, treatment patterns and outcomes: a 10-year region-based cohort study[J]. Translational Psychiatry, 2024, 14(1): 504. (SCI检索,川大B级,HXB级,JCR一区,IF:6.8)
(3) Xiaofei Liu, Jianjin Yue, Li Luo, Chuang Liu, Ting Zhu*. Evolutionary analysis of nuclear wastewater collaborative governance based on prospect theory, Journal of Cleaner Production, 2024, 465:142856. https://doi.org/10.1016/j.jclepro.2024.142856. (SCI检索,川大B级,HXC级,JCR一区,IF:11.1)
(4) Ting Zhu, Jingwen Jiang, Yao Hu, and Wei Zhang. Individualized prediction of psychiatric readmissions for patients with major depressive disorder: a 10-year retrospective cohort study, Translational Psychiatry, 2022, 12:170. https://doi.org/10.1038/s41398-022-01937-7. (SCI检索,川大B级,HXB级,JCR一区,IF:7.097)
(5) Ting Zhu, Li Luo, Huchang Liao, Xinli Zhang, and Wenwu Shen. A Hybrid Multi-criteria Decision Making Model for Elective Admission Control in a Chinese Public Hospital, Knowledge-Based Systems, 2019, 173: 37-51. (SCI检索,川大B级,HXB级,JCR一区,IF:8.038)
(6) Ting Zhu, Xiaofei Liu, Junren Wang, et al. Explainable machine-learning algorithms to differentiate bipolar disorder from major depressive disorder using self-reported symptoms, vital signs, and blood-based markers. Computer Methods and Programs in Biomedicine, 2023, 240: 107723. (SCI检索,川大C级,HXC级,JCR一区,IF:6.1)
(7) Ting Zhu, Ran Kou, Yao Hu, Minlan Yuan, Cui Yuan, Li Luo, and Wei Zhang. Dissecting clinical and biological heterogeneity in clinical states of bipolar disorders: a retrospective cohort study from China. Frontiers in Psychiatry, 2023, 14: 1128862. (SCI检索,川大D级,HXD级,JCR二区,IF:4.7)
(8) Di Mu, Simai Zhang, Ting Zhu*, Yong Zhou, and Wei Zhang. Prediction of Recidivism and Detection of Influential Factors Under Different Time Windows Using Machine Learning Techniques, Social Science Computer Review, 2024: 08944393241226607. (通讯作者,SCI检索,川大C级,HXD级,JCR一区,IF:4.1)