COMPUTATIONAL THINKING - Combining multiple types of reasoning to infer plausible

计算思维 - 结合多种类型的推理来推断合理性

• 批准号: 8170612
• 负责人: MARY SHEPHERD
• 金额: $ 37.8万
• 依托单位: CYCORP, INC.
• 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/8170612
• 关键词: Caring; Clinical; Cognition; Cognitive; Collaborations; Competence; Computers; Contracts; Databases; Decision Making; Development; Diagnosis; Face; Family; Funding; Goals; Human; Individual; Information Management; Intelligence; Knowledge; Machine Learning; Medical; Medical Informatics; Patients; Population; Process; Research; Research Personnel; Research Project Grants; System; Thinking; biomedical scientist; flexibility; innovation; novel strategies; prototype; rapid growth

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. 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、创新和决策方面的严峻挑战，因为这个时代见证了分布在大量数据库中的知识的异常快速增长。为了给计算和认知领域的研究注入活力，近年来出现了一些新的概念：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。作为医学高级研究项目倡议的一部分，NLM正在资助计算思维的新方法，以评估使用创新的计算方法来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的可行性，并为患者、家庭和公众带来医疗保健的改善。