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METHOD FOR PROVIDING OSTEOPOROSIS DIAGNOSIS AND TREATMENT SERVICE BASED ON BIGDATA AND ARTIFICIAL INTELLIGENCE

机译:基于大数据和人工智能提供骨质疏松症诊断和治疗服务的方法

摘要

A method of providing osteoporosis treatment service based on big data and artificial intelligence is provided, receiving medical record data of a patient transmitted for diagnosis and treatment of osteoporosis from a diagnosis request terminal, and at least one of the received medical record data (Bone Mineral Density) Recognizing, extracting, and storing numerical data included in the test items, classifying the type of osteoporosis based on the previously stored osteoporosis classification table, and the results of clinical trials and examinations among the patient's medical record data Based on genetic factors, lifestyle and nutrition, extracting risk factors including diseases and drugs, extracting at least one marker included in the biochemical bone marker test, and the type and risk of classified osteoporosis And extracting a fracture risk diagnosis and treatment method by inputting the factor and at least one marker as input data into a pre-built artificial intelligence big data algorithm, and transmitting it to a diagnosis requesting terminal.
机译:提供了基于大数据和人工智能的基于大数据和人工智能提供骨质疏松症治疗服务的方法,接受从诊断请求终端发送诊断和治疗骨质疏松症的患者的医疗记录数据,以及至少一个接受的医疗记录数据(骨矿物密度)识别,提取和存储在测试项目中的数值数据,基于先前储存的骨质疏松分类表对骨质疏松症的类型进行分类,以及基于遗传因素,生活方式的患者病历数据的临床试验和检查结果和营养,提取疾病和药物在内的危险因素,提取至少一种包含在生物化学骨标记试验中的标记,以及通过输入因子和至少一个标记来提取分类骨质疏松症的类型和风险,提取骨折风险诊断和治疗方法作为输入数据进入预先构建的人工智能大DAT一种算法,并将其传输到诊断请求终端。

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