COMPUTATIONAL THINKING - Combining multiple types of reasoning to infer plausible

在生物医学领域，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，这个时代的知识增长非常迅速，分布在大量的数据库中。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。

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.