知識圖譜在衛(wèi)生服務(wù)領(lǐng)域的應(yīng)用現(xiàn)狀與展望

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【摘要】  知識圖譜是人工智能技術(shù)在醫(yī)療領(lǐng)域?qū)崿F(xiàn)的基石，目前其在衛(wèi)生服務(wù)領(lǐng)域主要應(yīng)用于信息搜索引擎、智能問答、診療決策支持系統(tǒng)、信息可視化分析等方面。結(jié)合全科醫(yī)學(xué)的特點，本文同時探討了知識圖譜在慢性病管理、疾病預(yù)測和篩查及臨床決策支持方面的應(yīng)用前景，以期為臨床研究及應(yīng)用提供參考。

【關(guān)鍵詞】 知識圖譜；人工智能；衛(wèi)生服務(wù)；全科醫(yī)學(xué)

The applications and prospects of knowledge graph in health services

Pan Xuan Ren Jingjing Zhang Qiuhua et al.1 The Sir Run Run Shaw Hospital Affiliated Zhejiang University School of Medicine，Hangzhou，Zhejiang  310003;2 The First Affiliated Hospital of Zhejiang University School of Medicine，Hangzhou，Zhejiang  310003

【Abstract】  Medical knowledge graph is the cornerstone of Artificial Intelligence and Smart Healthcare.The main applications of medical knowledge graphs are search engine，question-answering system，decision support system，and visual analysis.Combined with the characteristics of general medicine.This paper discusses the application status of medical knowledge graphs in chronic disease management，screening and prediction of diseases，and auxiliary clinical diagnosis of diseases，so as to provide reference for clinical application and research.

【Key Words】  Medical knowledge graphs；Machine learning；Health service；General medicine

中圖分類號：R499；R197.324        文獻標識碼：A        文章編號：1672-1721（2023）10-0093-04

DOI：10.19435/j.1672-1721.2023.10.030

2022年1月國家衛(wèi)生健康委印發(fā)了《“十四五”衛(wèi)生健康標準化工作規(guī)劃》，要求各地區(qū)、相關(guān)部門要協(xié)調(diào)推進互聯(lián)網(wǎng)、大數(shù)據(jù)、人工智能、區(qū)域鏈、5G、物聯(lián)網(wǎng)、IPv6（互聯(lián)網(wǎng)協(xié)議第6版）等新興信息技術(shù)與衛(wèi)生健康行業(yè)融合性標準的供給，促進信息技術(shù)在醫(yī)療領(lǐng)域的研發(fā)和應(yīng)用[1]。（剩余7686字）