● Predicting Consultation Success in Online Health Platforms Using Dynamic Knowledge Networks and Multimodal Data Fusion, University of Arizona, 2024 ● Predicting Consultation Success in Online Health Platforms Using Dynamic Knowledge Graphs and Multimodal Data Fusion, Summer Workshop on AI for Business (SWAIB), Shanghai, China, 2024 ● Achieving Equitable Access to Medical Laboratory Tests through Optimal Sparse Decision Tree, IISE Annual Conference & EXPO,加拿大蒙特利尔,2024●使用多模式和多通道多通道的多渠道综合语音术数据,IISE年度会议和博览会,加拿大蒙特利尔,2024年,患者辍学的预测:一种多模式的动态知识和文本矿业,IC Science,IC Scorial,IC Scorial,IC Science,IC Science,IC Scorial,IC Scorial,IC Sciencal,Arona social IC, Real-Time Signals with Wavelet-Transform-based Convolutional Neural Network, in: Proceedings of the 54 th Hawaii International Conference on System Sciences (HICSS), Hawaii, USA, 2023 ● Depression Detection in Social Media Using Time-and-knowledge-aware LSTM and Depression Diagnosis-related Entity Extraction, FoRMLA - Front Range of Machine Learning Alliance Seminar Series, University of Colorado, 2022 ● ICU Mortality预测:我们可以做得更好吗?一个基于机器学习和随机信号分析技术的新模型,爱荷华州立大学,2021●域●领域适应从大型社交媒体数据集中提取信号的域名,爱荷华州立大学,2018年,对哮喘的风险因素的全面分析:基于机器学习和机器学习和大型异构数据源的疾病,及其在jossection和sysport of Systems of Systems的疾病和分析的信息, Management, UT Dallas, 2018 ● A Machine Learning Approach for Understanding Population-Level Health Effects of E-Cigarettes, Conference on Health IT and Analytics (CHITA), 2017 ● Are Electronic Nicotine Delivery Systems (ENDS) a Safe Substitute for Cigarettes Among Asthma Patients: A Social Media Based Analysis, INFORMS Annual Meeting, Houston, Texas, USA, 2017 ● Domain Adaptation for Signal Extraction from Large Social Media Datasets, the INFORMS Conference on Information Systems and Technology (CIST), Houston, Texas, USA, 2017 ● Are Electronic Cigarettes a Safer Substitute for Cigarettes for Asthma Patients, Workshop on Information Technologies and Systems (WITS), Seoul, South Korea, 2017 ● A Comprehensive Analysis of Risk Factors for Asthma: Based on Machine Learning and Large Heterogeneous Data Sources, Iowa State University, 2017 ● Extracting Signals from Social Media for Chronic Disease监视,国际数字健康会议(DigitalHealth'16),蒙特利尔,加拿大魁北克,2016年●社交媒体上有关电子烟的关键对话趋势和模式,信息会议,田纳西州纳什维尔,田纳西州,2016年,2016年