邱航
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  • 电子邮箱:qiuhang@uestc.edu.cn
  • 所在单位:计算机科学与工程学院(网络空间安全学院)
  • 学历:博士研究生毕业
  • 办公地点:主楼B1 702
  • 性别:
  • 联系方式:电话:028-61830278 传真:028-61830278
  • 学位:工学博士学位
  • 职称:副教授
  • 在职信息:在岗
  • 毕业院校:电子科技大学
  • 硕士生导师
  • 学科:计算机应用技术
  • 个人简介
  • 研究方向
  • 社会兼职
  • 教育经历
  • 工作经历
  • 团队成员
  • 其他联系方式

邱航,博士,副教授,硕士研究生导师,四川省卫生信息学会副会长,四川省医学会数字医学专委会副主任委员,四川省卫生健康统计咨询委员会委员,四川省省级卫生健康统计数据质控中心专家委员会委员,个性化药物治疗四川省重点实验室学术委员会委员,《中国卫生信息管理杂志》编委,主要研究方向为健康医疗大数据、机器学习与数据挖掘。近几年作为第一作者或通讯作者在Expert Systems with Applications (IF=8.5),Information & Management (IF=9.9),Science of the Total Environment (IF=9.8),Journal of Medical Internet Research (IF=7.4),Journal of Affective Disorders (IF=6.6)等国内外重要学术期刊及国际会议上发表论文60余篇;作为第一发明人获国家授权发明专利13项;获软件著作权登记9项;获国家科技进步二等奖、四川省科技进步一等奖、四川省科技进步二等奖各1项。

发表论文

2024

  1. Haiyan Yu, Saeed Piri, Hang Qiu*, Renying Xu, Hongxia Miao. Personalized algorithmic pricing decision support tool for health insurance: The case of stratifying gestational diabetes mellitus into two groups. Information & Management, 2024, 61(3): 103945. (中科院二区TOP,IF: 9.9,Corresponding Author)

2023

  1. Xulin Yang, Hang Qiu*, Liya Wang, Xiaodong Wang. Predicting Colorectal Cancer Survival Using Time-to-Event Machine Learning: Restrospective Cohort Study. Journal of Medical Internet Research, 2023, 25: e44417. (中科院二区TOP,IF: 7.4,Corresponding Author)

  2. Hang Qiu*, Liya Wang, Li Zhou, Xiaodong Wang. Comorbidity Patterns in Patients Newly Diagnosed With Colorectal Cancer: Network-Based Study. JMIR Public Health and Surveillance, 2023, 9: e41999. (中科院二区,IF: 8.5)

  3. Xiaoya Lu, Hang Qiu*. Explainable prediction of daily hospitalizations for cerebrovascular disease using stacked ensemble learning. BMC Medical Informatics and Decision Making, 2023, 23: 59. (中科院三区,IF: 3.5,Corresponding Author)

  4. Dejia Zhou, Hang Qiu*, Liya Wang, Minghui Shen. Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning. BMC Medical Informatics and Decision Making, 2023, 23: 99. (中科院三区,IF: 3.5,Corresponding Author)

2022

  1. Hang Qiu*, Shuhan Ding, Jianbo Liu, Liya Wang, Xiaodong Wang. Applications of Artificial Intelligence in Screening, Diagnosis, Treatment and Prognosis of Colorectal Cancer. Current Oncology, 2022, 29(3): 1173-1795. (IF: 3.677)

  2. Ping Yang, Hang Qiu*, Liya Wang, Li Zhou. Early prediction of high-cost inpatients with ischemic heart disease using network analytics and machine learning. Expert Systems with Applicatoins, 2022, vol. 210: 118541. (中科院一区TOP,IF: 8.665,Corresponding Author)

  3. Liya Wang, Hang Qiu*, Li Luo, Li Zhou. Age- and Sex-Specific Differences in Multimorbidity Patterns and Temporal Trends on Assessing Hospital Discharge Records in Southwestern China: Network-Based Study. Journal of Medical Internet Research, 2022, 24(2): e27146. (中科院二区TOP,IF: 7.076,Corresponding Author)

  4. Zhixu Hu, Hang Qiu*, Liya Wang, Minghui Shen. Network Analytics and Machine Learning for Predicting Length of Stay in Elderly Patients with Chronic Diseases at Point of Admission. BMC Medical Informatics and Decision Making, 2022, 22: 62. (IF: 3.298,Corresponding Author)

  5. Dejia Zhou, Liya Wang, Shuhan Ding, Minghui Shen, Hang Qiu*. Phenotypic Disease Network Analysis to Identify Comorbidity Patterns in Hospitalized Patients with Ischemic Heart Disease Using Large-Scale Administrative Data. Healthcare, 2022, 10(1), 80. (IF: 3.160,Corresponding Author)

  6. Shixin Huang, Xiaoyu Wan, Hang Qiu, Laquan Li, Haiyan Yu. Constrained optimization for stratified treatment rules with multiple responses of survival data. Information Sciences, 2022, 596: 343-361. (中科院一区TOP,IF: 6.795)

2021

  1. Hang Qiu*, Liya Wang, Li Luo, Minghui Shen. Gaseous air pollutants and hospitalizations for mental disorders in 17 Chinese cities: Association, morbidity burden and economic costs. Environmental Research, 2022, 204: 111928. (中科院二区,IF: 6.498)

  2. Hang Qiu*, Liya Wang, Xianrong Zeng, Jingping Pan. Comorbidity patterns in depression: A disease network analysis using regional hospital discharge records. Journal of Affective Disorders, 2022, 296: 418-427. (中科院二区TOP,IF: 4.839)

  3. 余海燕, 陈京京, 邱航, 王永, 王若凡. 嵌套删失数据期望最大化的高斯混合聚类算法. 自动化学报, 2021, 47(6): 1302-1314.

2020

  1. Hang Qiu*, Liya Wang, Li Zhou, Jingping Pan. Coarse particles (PM2.5-10) and cause-specific hospitalizatons in southwestern China: Association, attributable risk and economic costs. Environmental Research, 2020, 190: 110004. (中科院二区,IF: 5.715)

  2. Hang Qiu*, Lin Luo, Ziqi Su, Liya Wang, Yucheng Chen. Machine learning approaches to predict peak demand days of cardiovascular diseases considering environmental exposure. BMC Medical Informatics and Decision Making, 2020, 20: 83. (中科院三区,IF: 2.317)

  3. Zhixu Hu, Hang Qiu*, Ziqi Su, Minghui Shen, Ziyu Chen. A Stacking Ensemble Model to Predict Daily Number of Hospital Admissions for Cardiovascular Diseases. IEEE ACCESS, 2020, vol.8: 138719-138729. (中科院二区,IF: 3.745,Corresponding Author)

  4. Zhen Zhang, Hang Qiu*, Weihao Li, Yucheng Chen. A stacking-based model for predicting 30-day all-cause hospital readmissions of patients with acute myocardial infarction. BMC Medical Informatics and Decision Making, 2020: 335. (中科院三区,IF:2.317Corresponding Author)

  5. Si Liu, Liya Wang, Li Zhou, Weihao Li, Xiaorong Pu, Jingwen Jiang, Yucheng Chen, Li Zhang, Hang Qiu*. Differential effects of fine and coarse particulate matter on hospitalizations for ischemic heart disease: A population-based time-series analysis in Southwestern China. Atmospheric Environment, 2020, 224: 117366 (中科院二区,IF: 4.039,Corresponding Author)

  6. Haiyan Yu, Yali Wang, Jying-Nan Wang, Ya-Ling Chiu, Hang Qiu, Mingyue Gao. Causal Effect of Honorary Titles on Physicians’ Service Volumes in Online Health Communities: Retrospective Study. Journal of Medical Internet Research, 2020, 7: e18527. (中科院二区,IF: 5.034)

2019

  1. Hang Qiu*, Xiaojuan Zhu, Liya Wang, Jingping Pan, Xiaorong Pu, Xiaoxi Zeng, Li Zhang, Zhao Peng, Li Zhou*. Attributble risk of hospital admissions for overall and specific mental disorders due to particulate matter pollution: A time-series study in Chengdu, China. Environmental Research, 2019, 170: 230-237. (中科院二区,IF: 5.715)

  2. Xiaojuan Zhu, Hang Qiu*, Liya Wang, Zhanqi Duan, Haiyan Yu, Ren Deng, Yanlong Zhang, Li Zhou*. Risks of hospital admissions from a spectrum of causes associated with particulate matter pollution. Science of the Total Environment, 2019, 656: 90-100.  (中科院二区,IF: 6.551,Corresponding Author)

  3. Mengdie Chen, Hang Qiu*, Liya Wang, Li Zhou, Fei Zhao. Attributable risk of cardiovascular hospital admissions due to coarse particulate matter pollution: A multi-city time-series analysis in Southwestern China. Atmospheric Enevironment, 2019, 218: 117014. (中科院二区,IF: 4.039,Corresponding Author)

2018

  1. Hang Qiu*, Haiyan Yu, Liya Wang*, Xiaojuan Zhu, Mengdie Chen, Li Zhou, Ren Deng, Yanlong Zhang, Xiaorong Pu, Jingping Pan*. The burden of overall and cause-specific respiratory morbidity due to ambient air pollution in Sichuan Basin, China: A multi-city time-series analysis. Environmental Research, 2018, 167: 428-436. (中科院二区,IF: 5.715)

  2. Hang Qiu*, Kun Tan, Feiyu Long, Liya Wang*, Haiyan Yu, Ren Deng*, Hu Long, Yanlong Zhang, Jingping Pan. The Burden of COPD Morbidity Attributable to the Interaction between Ambient Air Polution and Temperature in Chengdu, China. International Journal of Environmental Research and Public Health, 2018, 15(3), 492. (中科院三区, IF: 2.949)

2017

  1. Hang Qiu, Haiyan Yu*, Liya Wang, Qiang Yao, Sinan Wu, Can Yin, Bo Fu, Xiaojuan Zhu, Yanlong Zhang, Jun Deng, Hao Yang, Shundong Lei*. Electronic Health Record Driven Prediction for Gestational Diabetes Mellitus in Early Pregnancy. Scientific Reports.7, 2017 (中科院三区,IF: 3.998)

科研项目

  1. 国家自然科学基金专项项目,“数字技术支持下慢性病共病医疗卫生服务动态监测和政策干预”,2024/01-2027/12,项目编号:73242014,子课题负责人

  2. 四川省科技厅重点研发计划项目,“基于多模态数据融合的直肠癌新辅助疗效评估模型构建及临床应用”,2024/01-2024/12,项目编号:24SYSX0206,课题负责人

  3. 四川省卫生健康信息中心专项课题,“基于时序疾病网络的慢病人群疾病进展模式挖掘与应用”,2024/01-2025/07,项目编号:2023ZXKY06001,课题负责人

  4. 四川省科技厅重点研发计划项目,“基于疾病网络与人工智能的II-III期结直肠癌预后预测模型研究”,2022/04-2023/12,项目编号:2022YFS0163,子课题负责人

  5. 四川省科技厅重点研发计划项目,“基于人工智能的结直肠癌临床辅助决策关键技术研究”,2021/04-2023/03,项目编号:2021YFS0112,子课题负责人

  6. 成都市科技局技术创新研发项目,“健康医疗大数据驱动的结直肠癌预后决策系统研究与应用示范”,2021/09-2022/08,子课题负责人

  7. 四川省卫生健康信息中心“卫生健康数字化发展”专项课题,“基于疾病网络分析的脑血管疾病共病模式研究”,2021/09-2022/08,项目编号:2021ZXKY06002,课题负责人

  8. 四川省卫生健康信息中心“卫生健康数字化发展”专项课题,“四川省结直肠癌队列构建与住院直接经济负担分析”,2021/09-2022/08,项目编号:2021ZXKY06003,子课题负责人

  9. 国家医疗保障局委托课题,“基于大数据医保监督管理体系研究”,2020/06-2020/12,课题负责人

  10. 四川省卫生健康信息中心项目,“健康时序大数据驱动的疾病谱变迁及共病模式研究”,2020/01-2020/12,项目编号:2019ZXKY002,课题负责人

  11. 四川省科技计划重点研发项目,“基于机器学习的一氧化碳中毒迟发性脑病早期风险预测关键技术研究”,2020/01-2021/12,项目编号:2020YFS0428,子课题负责人

  12. 四川省应对新型冠状病毒感染肺炎科技攻关应急项目,“四川省应对新冠肺炎卫生应急调度管理平台”,2020/03-2020/11,项目编号:2020YFS0559,子课题负责人

  13. 四川省卫生和计划生育信息中心项目,“基于大数据的重点疾病防控应用分析”,2018/12-2019/12,课题负责人

  14. 四川省科技计划重点项目,“基于大数据的重点疾病防控应用分析”,2019/01-2020/12,项目编号:2019YFS0271,子课题负责人

  15. 四川大学华西医院学科卓越发展1·3·5工程临床研究孵化项目,“基于大数据的空气污染下心血管疾病风险预测与评估”,2019/01-2020/01,项目编号:2018HXFH023,子课题负责人

  16. 四川省科技计划重点项目,“大数据智能医疗管理决策模式与应用示范研究”,2018/01-2020/12,项目编号:2018SZ0114,课题负责人

  17. 成都市医疗保险管理局项目,“就医、医疗服务行为分析在医保医疗精准化监管中的应用研究”,2018/01-2018/12,课题负责人

发明专利

  1. 一种基于图表示学习的慢病风险预测方法,专利号:ZL202210539116.7

  2. 一种基于GAN和多任务学习的癌症生存分析方法,专利号:ZL202211240631.1

  3. 一种基于多模态学习的一氧化碳中毒迟发性脑病预测方法,专利号:ZL202210348106.5

  4. 基于图自编码器的慢病人群健康风险预测模型构建方法,专利号:ZL202210507317.9

  5. 一种基于图神经网络的患者住院时长早期预测方法及装置,专利号:ZL202110601268.0

  6. 一种基于复杂网络的疾病进展路径挖掘方法,专利号:ZL202010971130.5

  7. 一种基于自适应集成学习模型的再入院风险预测方法,专利号:ZL202010971129.2

  8. 一种基于代价敏感集成学习模型的再入院风险预测方法,专利号:ZL201910306367.9

  9. 一种心血管疾病非计划再入院风险预测方法,专利号:ZL201910643706.2

  10. 一种基于神经网络的呼吸系统疾病患病人次动态预测方法,专利号:ZL201810471661.0

  11. 一种基于电子病历数据驱动的妊娠期糖尿病预测方法,专利号:ZL201710877528.0

  12. 一种基于分形技术的病案库构建方法,专利号:ZL201710206758.4

  13. 一种评估慢性病费用的建模方法,专利号:ZL201610842806.4

  14. 一种基于图对比学习的癌症生存预测模型构建方法,申请号:2022310071845.9

  15. 结合患者网络分析与图学习的慢病风险预测方法及系统,申请号:202310271002.3

  16. 基于层次注意力的癌症动态生存分析方法及系统,申请号:202311408202.5

软件著作权登记

  1. Gingko图像合成软件,登记号:2016SR102769

  2. 大数据分级诊疗监测评估系统,登记号:2016SR084469

  3. 基于电子病历和机器学习的妊娠期糖尿病预测系统,登记号:2017SR419286

  4. 大数据驱动的疾病短期入院量预测系统,登记号:2019SR1182683

  5. 基于大数据和机器学习的健康风险评估与预测系统,登记号:2020SR0706712

  6. 心血管疾病共病模式网络分析系统,登记号:2020SR0921526

  7. 疾病谱分析系统,登记号:2021SR0186873

  8. 基于可解释深度学习的结直肠癌生存分析系统,登记号:2022SR0814501

  9. 基于疾病网络与机器学习的慢病住院高花费患者识别系统,登记号:2022SR1228503

获奖

  1. 面向数字化医疗的医学图像关键技术研究及应用,国家科技进步二等奖,2011

  2. 医学图像处理与三维重建系统,四川省科技进步一等奖,2008

  3. 大规模三维场景高效处理关键技术及系统,四川省科技进步二等奖,2016


深度学习
  • 健康医疗大数据挖掘

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