Smart and Connected Health (SCH) PI Workshop, 2017

智能互联健康 (SCH) PI 研讨会，2017 年

• 批准号: 1724990
• 负责人: Ioannis Paschalidis
• 金额: $ 9.4万
• 依托单位: Trustees of Boston University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-02-01 至 2018-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1724990&HistoricalAwards=false
• 关键词: Smart; Connected; Health; SCH; PI

This proposal supports the NSF Smart and Connected Health (SCH) Principal Investigators Meeting and Visioning Workshop in Boston, MA on March 2-22, 2017. The meeting brings together principal investigators (PI) of projects awarded by the Smart and Connected Health program from 2011 to 2016. The SCH program was set up in order to bridge gaps in fundamental science necessary to transform health and healthcare, as well as to be focused on prevention and person-centered care. In particular, the Visioning Workshop is designed to address the next generation of challenges in advancing health with foundational research from the computer science, engineering and the social, behavioral and economic disciplines. An objective of the PI Workshop is to provide an opportunity for the principal investigators to explore research progress in a diverse set of funded projects and discuss important current issues, as well as future challenges associated with research in transdisciplinary scientific areas. The discussions will be supported by projects-related posters and further stimulated by cross-talk from the Visioning Workshop. It is anticipated that the meeting will stimulate discussions, connections, and collaborations that will facilitate progress in the area of Smart and Connected Health. The workshop should have a significant impact on the participants and the future of the Smart and Connected Health program (SCH). The focus of the workshop is on foundational research that supports the growth of smart health within connected communities. The workshop results are likely to include new research directions that will be publicized to the research community through publications and a workshop website. The results dissemination should inform and the developing Smart and Connected Health research community in their transdisciplinary collaboration, educational activities, and spur other innovative research directions. The broader impacts of the workshop are to facilitate progress in the field and stimulate conversations, connections, and collaborations that will lead toward better informed and effective smart and connected health research and resulting technologies for the broadest possible user populations. Additionally, there is a workshop attached to the Principal Investigator meeting that will support the travel for ten students from under-represented STEM disciplines to attend the PI Workshop. This should also help grow the field by providing mentorship and support for a new cadre of investigators looking to do work in the Smart and Connected Health area.

该提案支持2017年3月2日至22日在马萨诸塞州波士顿举行的NSF智能互联健康(SCH)主要调查员会议和展望研讨会。这次会议汇集了2011年至2016年智能互联健康计划授予的项目的主要调查人员(PI)。SCH计划的设立是为了弥合转变卫生和医疗保健所需的基础科学方面的空白，并将重点放在预防和以人为中心的护理上。特别是，展望研讨会旨在通过计算机科学、工程以及社会、行为和经济学科的基础研究来应对下一代在促进健康方面的挑战。PI讲习班的一个目的是为首席研究人员提供一个机会，探讨各种资助项目的研究进展情况，并讨论当前的重要问题以及与跨学科科学领域研究相关的未来挑战。讨论将得到与项目相关的海报的支持，并进一步受到远景研讨会的相声的刺激。预计此次会议将促进讨论、联系和合作，促进智能互联健康领域的进展。研讨会应该对参与者和智能互联健康计划(SCH)的未来产生重大影响。研讨会的重点是支持互联社区内智能医疗增长的基础研究。讲习班的成果可能包括将通过出版物和讲习班网站向研究界宣传的新的研究方向。成果的发布应该让正在发展中的智能互联健康研究社区在其跨学科合作、教育活动中获得信息，并鼓励其他创新的研究方向。研讨会的更广泛影响是促进实地进展，并促进对话、联系和合作，从而为尽可能广泛的用户群体带来更知情、更有效的智能和互联健康研究和由此产生的技术。此外，首席调查员会议还附带了一个讲习班，将支持来自代表性不足的STEM学科的十名学生参加PI讲习班。这还应该通过为寻求在智能互联医疗领域开展工作的新的调查人员提供指导和支持，来帮助该领域的发展。

项目成果

How Machine Learning Is Helping Us Predict Heart Disease and Diabetes

机器学习如何帮助我们预测心脏病和糖尿病

• 发表时间: 2017
• 期刊: Harvard Business Review
• 影响因子: 14.7
• 作者: Paschalidis, Ioannis