| 电子病历辅助临床诊断系统研究 |
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| 引用本文： | 王庆阳,张书旭,白彦灵,王业伟,袁克虹.电子病历辅助临床诊断系统研究[J].医学信息学杂志,2016,37(7):2-6. |
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| 作者姓名： | 王庆阳 张书旭 白彦灵 王业伟 袁克虹 |
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| 作者单位： | 清华大学深圳研究生院生物医学工程研究所 深圳 518055;广州医科大学附属肿瘤医院放疗中心 广州 510095;哈尔滨医科大学附属肿瘤医院放疗中心 哈尔滨 150081;哈尔滨医科大学附属肿瘤医院放疗中心 哈尔滨 150081;清华大学深圳研究生院生物医学工程研究所 深圳 518055 |
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| 摘 要： | 为共享医生诊疗经验，从相似电子病历检索的角度探讨辅助诊断系统的建设，介绍系统功能模块组成和理论算法，包括主诉相似度、诊疗模式相似度、图像相似度、综合相似度计算算法。此方法能够较为全面地根据电子病历的内容计算相似度，检索出的电子病历为医生制订诊疗计划提供参考。
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| 关 键 词： | 电子病历 辅助诊断 相似度计算 深度学习 |
| 收稿时间： | 2016/3/28 0:00:00 |
Research on the Auxiliary Clinical Diagnosis System Based on Electronic Medical Records |
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| WANG Qing-yang,ZHANG Shu-xu,BAI Yan-ling,WANG Ye-wei and YUAN Ke-hong.Research on the Auxiliary Clinical Diagnosis System Based on Electronic Medical Records[J].Journal of Medical Informatics,2016,37(7):2-6. |
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| Authors: | WANG Qing-yang ZHANG Shu-xu BAI Yan-ling WANG Ye-wei and YUAN Ke-hong |
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| Institution: | Research Center of Biomedical Engineering, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China;Center of Radiotherapy, Affiliated Tumor Hospital of Guangzhou Medical University, Guangzhou 510095, China;Department of Radiation Oncology, The Cancer Hospital of Harbin Medical University, Harbin 150081, China;Department of Radiation Oncology, The Cancer Hospital of Harbin Medical University, Harbin 150081, China;Research Center of Biomedical Engineering, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China |
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| Abstract: | In order to share doctors'' experience in diagnosis and treatment, the paper studies the construction of the auxiliary diagnosis system from the perspective of similar Electronic Medical Records(EMR), and introduces the system''s functional modules and theoretic algorithms, including computational algorithms for the similarity of complaints, similarity of diagnosis and treatment modes, image similarity and comprehensive similarity. This method can compute the similarities comprehensively according to contents of EMR. The EMR retrieved can serve as reference for doctors to make a plan for diagnosis and treatment. |
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| Keywords: | Electronic Medical Records(EMR) Auxiliary diagnosis Similarity computation Deep learning |
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