Health Data Sci. 2024 Jun 7;4:0112. doi: 10.34133/hds.0112. eCollection 2024.
The 5th annual Beijing Health Data Science Summit, organized by the National Institute of Health Data Science at Peking University, recently concluded with resounding success. This year, the summit aimed to foster collaboration among researchers, practitioners, and stakeholders in the field of health data science to advance the use of data for better health outcomes. One significant highlight of this year's summit was the introduction of the Abstract Competition, organized by , a Science Partner Journal, which focused on the use of cutting-edge data science methodologies, particularly the application of artificial intelligence in the healthcare scenarios. The competition provided a platform for researchers to showcase their groundbreaking work and innovations. In total, the summit received 61 abstract submissions. Following a rigorous evaluation process by the Abstract Review Committee, eight exceptional abstracts were selected to compete in the final round and give presentations in the Abstract Competition. The winners of the Abstract Competition are as follows:•First Prize: "Interpretable Machine Learning for Predicting Outcomes of Childhood Kawasaki Disease: Electronic Health Record Analysis" presented by researchers from the Chinese Academy of Medical Sciences, Peking Union Medical College, and Chongqing Medical University (presenter Yifan Duan).•Second Prize: "Survival Disparities among Mobility Patterns of Patients with Cancer: A Population-Based Study" presented by a team from Peking University (presenter Fengyu Wen).•Third Prize: "Deep Learning-Based Real-Time Predictive Model for the Development of Acute Stroke" presented by researchers from Beijing Tiantan Hospital (presenter Lan Lan). We extend our heartfelt gratitude to the esteemed panel of judges whose expertise and dedication ensured the fairness and quality of the competition. The judging panel included Jiebo Luo from the University of Rochester (chair), Shenda Hong from Peking University, Xiaozhong Liu from Worcester Polytechnic Institute, Liu Yang from Hong Kong Baptist University, Ma Jianzhu from Tsinghua University, Ting Ma from Harbin Institute of Technology, and Jian Tang from Mila-Quebec Artificial Intelligence Institute. We wish to convey our deep appreciation to Zixuan He and Haoyang Hong for their invaluable assistance in the meticulous planning and execution of the event. As the 2023 Beijing Health Data Science Summit comes to a close, we look forward to welcoming all participants to join us in 2024. Together, we will continue to advance the frontiers of health data science and work toward a healthier future for all.
由北京大学健康医疗大数据国家研究院组织的第五届北京健康数据科学峰会近日圆满落幕。今年,峰会旨在促进健康数据科学领域的研究人员、从业者和利益相关者之间的合作,以推动利用数据实现更好的健康成果。今年峰会的一个重要亮点是由科学合作伙伴期刊组织的摘要竞赛,该竞赛聚焦于前沿数据科学方法的应用,特别是人工智能在医疗场景中的应用。该竞赛为研究人员提供了一个展示其开创性工作和创新成果的平台。峰会共收到61份摘要投稿。经过摘要评审委员会的严格评估,八篇优秀摘要被选中参加决赛,并在摘要竞赛中进行展示。摘要竞赛的获奖者如下:
一等奖:《用于预测儿童川崎病结局的可解释机器学习:电子健康记录分析》,由中国医学科学院北京协和医学院和重庆医科大学的研究人员(演讲者段一帆)提交。
二等奖:《癌症患者移动模式中的生存差异:一项基于人群的研究》,由北京大学的一个团队(演讲者温凤玉)提交。
三等奖:《基于深度学习的急性卒中发生实时预测模型》,由北京天坛医院的研究人员(演讲者兰兰)提交。
我们衷心感谢尊敬的评审团,他们的专业知识和奉献确保了竞赛的公平性和质量。评审团成员包括罗捷波(罗切斯特大学,主席)、洪申达(北京大学)、刘晓钟(伍斯特理工学院)、刘阳(香港浸会大学)、马建竹(清华大学)、马婷(哈尔滨工业大学)和唐建(米拉 - 魁北克人工智能研究所)。我们要向何子轩和洪浩洋表示深切感谢,感谢他们在活动的精心策划和执行过程中提供的宝贵帮助。随着2023年北京健康数据科学峰会落下帷幕,我们期待着在2024年欢迎所有参与者再次相聚。我们将共同继续推进健康数据科学的前沿领域,为所有人创造更健康的未来而努力。