中医临床症状是辨证论治的主要依据，也是临床个体诊疗的重要数据。但是，中医临床数据应用中仍缺乏规范准确的症状术语本体。本文通过分析当前现代医学中与症状相关的临床表型本体研究及其数据现状，对现有临床表型本体进行了分类整理和介绍，并探讨了其存在的问题。在此基础上，阐述了围绕“症状”收集并整理相关数据，形成以症状为主涵盖疾病、基因、药物、化学成分、副作用等不同节点的数据网络，构建以症状为核心的中医临床表型集成本体的重要性及其思路。我们认为构建以症状为核心的中医临床表型集成本体，有助于进行中医个体诊疗和精准医疗研究，是进行个体化大数据分析的关键基础工作之一，亟待推进。

Traditional Chinese medicine (TCM) clinical symptoms, which were main evidences in syndrome differentiation and treatment, were also main data in the clinical individual diagnosis and treatment. However, the absence of high-quality symptom ontology was still obvious in TCM clinical and data using. By analyzing the research and data of clinical phenotype ontologies associated with symptoms, this paper was aimed to introduce and sort the existing ontologies, in order to discuss related problems. Furthermore, we provided ideas and expound the importance of building data network of symptoms, diseases, genes, drugs, chemicals, side effects with the data we collected and disposed around symptoms, in order to construct TCM clinical phenotype ontology. We believed that our work will help the development of individual treatment and precision medicine in TCM. It was also the key of individual big data analysis which was urgent need to promote.

国家自然科学基金委青年科学基金项目 （61105055)：表型与基因型功能关联的数据整合和网络分析方法研究，负责人：周雪忠；国家自然科学基金委青年科学基金项目（81303084）：中医临床症状/体征术语的基础和应用研究，负责人：周霞继；国家自然基金委重点项目（81230086）：阶梯递进的辨证论治疗效评价方法研究，负责人：刘保延；国家科技支撑计划项目(2013BAH06F03):服务老年公寓的健康服务应用系统研发与应用，负责人：谢琪。