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Construction of medical equipment-based doctor health monitoring system

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收录情况： ◇ SCIE

作者：

单位： [1]Huazhong Univ Sci & Technol,Tongji Hosp,Tongji Med Coll,Dept Urol,Wuhan 430030,Hubei,Peoples R China [2]YouCare Technol Co Ltd, Wuhan 430223, Hubei, Peoples R China [3]Univ Calif Los Angeles, Dept Phys & Astron, Los Angeles, CA 90095 USA

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关键词： Doctor health Doctor health monitoring system Physical health indicators Convolutional neural network Health status

摘要：

The health status of doctors has been overlooked by the society and even the doctors themselves, especially those doctors who work long hours. Their attention is always on patients, so they are more likely to ignore their own health problems. Therefore, in this paper, we propose a medical equipment-based doctor health monitoring system (hereinafter referred to as Doc-care). Doc-care can be used as a private health manager for doctors, and doctors can monitor their health indicators in real time while using medical equipment to aid diagnosis and treatment. When the doctor's health status is neglected, Doc-care can protect the doctor's health; combining with the convolutional neural network method to detect and grade the doctor's health indicators, to assess the doctor's real-time health status. After referring to the doctor's past health data in the cloud server, giving appropriate advice and predictions about the doctor's health status.

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出版当年[2018]版：

大类 | 3 区医学

小类 | 3 区卫生保健与服务 3 区医学：信息

最新[2025]版：

大类 | 3 区医学

小类 | 3 区卫生保健与服务 4 区医学：信息

JCR分区：

出版当年[2017]版：

Q2 HEALTH CARE SCIENCES & SERVICES Q3 MEDICAL INFORMATICS

最新[2023]版：

Q1 HEALTH CARE SCIENCES & SERVICES Q2 MEDICAL INFORMATICS

影响因子： 3.5 最新[2023版] 4.7 最新五年平均 2.098 出版当年[2017版] 2.398 出版当年五年平均 2.456 出版前一年[2016版] 2.415 出版后一年[2018版]

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第一作者单位： [1]Huazhong Univ Sci & Technol,Tongji Hosp,Tongji Med Coll,Dept Urol,Wuhan 430030,Hubei,Peoples R China

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