2023 Beijing Health Data Science Summit.

Health data science Pub Date : 2024-06-07 eCollection Date: 2024-01-01 DOI:10.34133/hds.0112
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引用次数: 0

Abstract

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 Health Data Science, 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.

2023 北京健康数据科学峰会。
近日,由北京大学国家健康数据科学研究院主办的第五届北京健康数据科学峰会圆满落下帷幕。今年的峰会旨在促进健康数据科学领域的研究人员、从业人员和利益相关者之间的合作,推动数据的使用,以取得更好的健康成果。今年峰会的一大亮点是引入了由科学伙伴期刊《健康数据科学》组织的摘要竞赛,该竞赛侧重于前沿数据科学方法的使用,特别是人工智能在医疗保健场景中的应用。竞赛为研究人员提供了一个展示其突破性工作和创新的平台。峰会共收到 61 份摘要提交。经过摘要评审委员会的严格评审,最终有八份优秀摘要入围决赛,并在摘要竞赛中发表演讲。摘要竞赛的获奖者如下:--一等奖:一等奖:"预测儿童川崎病结果的可解释机器学习:一等奖: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(演讲人:段一帆)提交的 "预测儿童川崎病预后的可解释机器学习:电子健康记录分析":二等奖:"癌症患者流动模式的生存差异:三等奖:"基于深度学习的实时预测":三等奖:"基于深度学习的急性脑卒中发病实时预测模型",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,他们的专业知识和敬业精神确保了竞赛的公平性和质量。评审团成员包括罗切斯特大学的罗杰波(主席)、北京大学的洪申达、伍斯特理工学院的刘晓钟、香港浸会大学的刘洋、清华大学的马建柱、哈尔滨工业大学的马婷和魁北克米拉人工智能研究所的唐健。何子璇和洪浩洋为本次活动的精心策划和执行提供了宝贵的帮助,在此深表感谢。2023 北京健康数据科学峰会即将落下帷幕,我们期待着 2024 年所有与会者的加入。我们将携手并进,继续推动健康数据科学的前沿发展,为所有人创造更加健康的未来而努力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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