title: A knowledge network for a dynamic taxonomy of psychiatric disease.
abstract: 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.
authors.affiliation: Professor, Duke University, School of Medicine, Department of Psychiatry and Behavioral Sciences; Adjunct Professor, University of North Carolina at Chapel Hill, School of Medicine, Department of Psychiatry and Behavioral Sciences, North Carolina, USA; Dean, Duke NUS Graduate Medical School, Singapore.
authors.forename: Ranga R
authors.initials: RR
authors.lastname: Krishnan
mesh_terms: D035843:Biomedical Research; D002965:Classification / Q000379:methods*; D023281:Genomics; D006801:Humans; D019359:Knowledge; D001523:Mental Disorders / Q000145:classification* / Q000175:diagnosis* / Q000235:genetics; D017711:Nonlinear Dynamics
keywords: biology; exposome; genomics; knowledge; metabolomics; taxonomy