石昕教授:USING BIG DATA FOR EFFECTIVE HEALTH MANAGEMENT

发布者:陈英发布时间:2021-01-07浏览次数:10


活动主题

USING BIG DATA FOR EFFECTIVE HEALTH MANAGEMENT

 Early Diagnosis, Intervention & Prevention

活动时间

202119日(周六)17:30-18:30

活动形式

ZOOM线上直播

*本次讲座将使用ZOOM平台进行直播,请提前下载ZOOM软件调试以便收看。

内容要点

Health is the most important demand for humans. Long and healthy life is one of the primary research subjects in human health research. However, it is difficult to accurately access health status at a very early stage, with the aim of determining appropriate interventions to maintain good health and wellbeing. Therefore, it is essential to optimize human health management polices and assess the risk factors associated with health status.

Human health management is the process and means for health risk factors monitoring, prognostics, intervention and control based on our knowledge on human health and prevention using non-clinical and clinical linkage data. Some symptoms that could indicate potential advanced disease or chronic disease can often be ignored or missed. This will lead to serious delay in clinical diagnosis and timely treatment intervention. Subsequently, it will increase the medical treatment costs as well as increasing the patient’s physical, mental and financial burden.

Our study aims to develop a systematic approach which integrates statistical and artificial intelligent health big data modelling into optimal health management decision-making with mobile application. By developing statistical modelling method for health big data on early diagnosis, prevention and intervention, we are developing a multi stage delay-time model to investigate risk factors and predict heath status at an earlier stage of disease/illness progression using linked clinical and non-clinical data.

In this talk, we will our recent research outcomes and discuss the challenges for the future study.

* 授课语言:中、英双语

嘉宾简介

石昕 教授

英国曼彻斯特城市大学终身教授、博士生导师

欧洲科学与艺术院院士

上外国际工商管理学院兼职教授

应用统计学(健康大数据)专家

石昕现任英国曼彻斯特城市大学终身教授,博士生导师,曾任商法学部中国事务副院长,中国中心主任;哈萨克斯坦卡尔干达医科大学副校长;兼任上海大学商业大数据和应用统计研究中心主任。石昕自从 2008 年在英国索尔福德大学统计学博士毕业以来,一直从事医疗和健康大数据的研究。先后在英国多所医学院任职。被英国皇家统计学会授予国际注册统计师(CStat)和会士(Fellow),英国皇家统计学会曼彻斯特分会副主席。石昕是多个国际期刊的主编和副主编和联合国教科文组织项目英国评审委员。2019 年被推选为欧洲科学与艺术院院士。石昕是多个国际期刊的主编和副主编和联合国教科文组织项目英国评审委员。石昕的研究是利用非临床和临床联系数据,基于我们对人类健康和疾病预防的知识,对健康风险因素进行监测、预测、干预和控制的过程和方法。在的研究成果,逐步地被顶级期刊收录和邀请,也得到了同行的赞同。

报名方式

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报名截止时间

202119日(周六)16:00

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