COMPUTATIONAL THINKING-Developing an Intelligent and Socially Oriented Search Que

计算思维-开发智能且面向社交的搜索队列

• 批准号: 8173663
• 负责人: TERRI MAXWELL
• 金额: $ 30.13万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-27 至 2011-09-26
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8173663
• 关键词: Caring; Clinical; Cognition; Cognitive; Collaborations; Communities; Competence; Complement; Computers; Contracts; Data; Databases; Decision Making; Electronic Health Record; Face; Family; Funding; Goals; Human; Individual; Information Management; Intelligence; Knowledge; Machine Learning; Medical; Memory; Patients; Research; Research Personnel; Research Project Grants; Solutions; Speed; System; Thinking; biomedical scientist; flexibility; innovation; novel strategies; rapid growth; social

In biomedicine, clinicians and researchers now face formidable challenges in information management, innovation, and decision-making in an era which is seeing extraordinarily rapid growth of knowledge, distributed among a host of databases, and on a scale far larger than can be mastered by an individual. The remarkable speed, memory capacity, and symbol-manipulating power of computers, if properly harnessed, can complement human cognitive strengths so as to enable efficient use of all of the knowledge relevant to solution of clinical and scientific problems. To invigorate research in the arena of computation and cognition, a number of fresh concepts have arisen in recent years: computational intelligence, machine learning, intelligence amplifying systems, flexible competence, human-computer collaboration, and computational thinking. As part of its ¿Medical Advanced Research Projects Initiative,¿ the NLM is funding novel approaches to computational thinking, in order to evaluate the feasibility of using innovative computational approaches to enhance the ability of clinicians and biomedical scientists to solve one or more significant cognitive tasks and bring improvements in medical care to patient, families and the public.

在生物医学中，临床医生和研究人员现在面临着信息管理，创新和决策的巨大挑战，在这个时代，知识的增长非常迅速，分布在大量的数据库中，规模远远大于个人所能掌握的。计算机惊人的速度、记忆容量和符号处理能力，如果得到适当的利用，可以补充人类的认知能力，从而有效地利用与解决临床和科学问题有关的所有知识。为了活跃计算和认知竞技场的研究，近年来出现了许多新概念：计算智能、机器学习、智能放大系统、灵活能力、人机协作和计算思维。作为其医学高级研究项目计划，NLM正在资助计算思维的新方法，以评估使用创新计算方法的可行性，以提高临床医生和生物医学科学家解决一个或多个重要认知任务的能力，并为患者，家庭和公众带来医疗保健的改善。