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A knowledge network for a dynamic taxonomy of psychiatric disease

机译:精神疾病动态分类学的知识网络

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摘要

Current taxonomic approaches in medicine and psychiatry are limited in validity and utility. They do serve simple communication purposes for medical coding, teaching, and reimbursement, but they are not suited for the modern era with its rapid explosion of knowledge from the “omics” revolution. The National Academy of Sciences published a report entitled Toward Precision Medicine: Building a Knowledge Network for Biomedical Research and a New Taxonomy of Disease. The authors advocate a new taxonomy that would integrate molecular data, clinical data, and health outcomes in a dynamic, iterative fashion, bringing together research, public health, and health-care delivery with the interlinked goals of advancing our understanding of disease pathogenesis and thereby improving health. As the need for an information hub and a knowledge network with a dynamic taxonomy based on integration of clinical and research data is vital, and timely, this proposal merits consideration.
机译:当前医学和精神病学分类方法的有效性和实用性受到限制。它们确实为医学编码,教学和报销提供了简单的交流目的,但是由于“组学”革命对知识的迅猛发展,它们不适合现代时代。美国国家科学院(National Academy of Sciences)发表了一份题为“向精密医学迈进:建立生物医学研究知识网络和疾病新分类法”的报告。作者主张一种新的分类法,该分类法将以动态,迭代的方式整合分子数据,临床数据和健康结果,将研究,公共卫生和卫生保健提供结合在一起,以相互关联的目标增进对疾病发病机理的理解,从而改善健康状况。由于对基于临床和研究数据集成的具有动态分类法的信息中心和知识网络的需求是至关重要且及时的,因此该提案值得考虑。

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