Description: 医院体检个人信息管理，报表打印等功能，很适合初学着查看，有照相功能，SQL数据库-Physical examination or clinical examination is the process by which a health care provider investigates the body of a patient for signs of disease. It generally follows the taking of the medical history — an account of the symptoms as experienced by the patient. Together with the medical history, the physical examination aids in determining the correct diagnosis and devising the treatment plan. This data then becomes part of the medical record.
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Author:qww |
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Description: 本系统可实现湿度、温度以及酸碱度3个人体皮肤重要指标的采集、处理、传输，并能在用户界面程序中显示，具有体积小和性价比高的特点，有助于医学工作者通过对人体皮肤的诊断判断其健康状况。-The system can humidity, temperature and pH 3, an important indicator of personal body skin collection, processing, transmission, and can appear in the user interface program has small size and cost-effective features that will help medical workers on human skin diagnosis to determine their health status. Platform: |
Size: 108544 |
Author:杨先生 |
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Description: 基于邻域粗糙集的航空发电机健康诊断方法Based on the rough sets method of health diagnosis for aviation generator-Based on the rough sets method of health diagnosis for aviation generator Platform: |
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Description: 故障诊断和健康预测的PHM参数和建模方法技术研究-Fault diagnosis and prediction of PHM health parameters and modeling technology research Platform: |
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Author:彭彭 |
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Description: Diabetic retinopathy contributes to serious health problem in many parts of the world. With the motivation of the needs of the medical community system for early screening of diabetics and other diseases, a computer aided diagnosis system is proposed. This work is aimed to develop an automated system to analyze the retinal images for important features of diabetic retinopathy using image processing techniques and an image classifier based on artificial neural network which classify the images according to the disease conditions.-Diabetic retinopathy contributes to serious health problem in many parts of the world. With the motivation of the needs of the medical community system for early screening of diabetics and other diseases, a computer aided diagnosis system is proposed. This work is aimed to develop an automated system to analyze the retinal images for important features of diabetic retinopathy using image processing techniques and an image classifier based on artificial neural network which classify the images according to the disease conditions. Platform: |
Size: 1200128 |
Author:arun |
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Description: Nonstationary signal analysis one of the main topics in the field of machinery fault diagnosis.Time-frequency analysis can identify the signal frequency components,
reveals their time variant features,and is an effective tool to extract machinery health information contained innonstationary signals.Various time-frequency analysis methods have been proposed and applied to machinery fault diagnosis.These include linear and bilineartime–frequency representations(e.g.,wavelet transform,Cohen and affine class distributions),adaptive parametric time-frequency an alysis(basedonatomic decomposition and time-frequency auto regressive moving average models),adaptive
non-parametric time–frequencyanalysis-Nonstationary signal analysis is one of the main topics in the field of machinery fault diagnosis.Time-frequency analysis can identify the signal frequency components,
reveals their time variant features,and is an effective tool to extract machinery health information contained innonstationary signals.Various time-frequency analysis methods have been proposed and applied to machinery fault diagnosis.These include linear and bilineartime–frequency representations(e.g.,wavelet transform,Cohen and affine class distributions),adaptive parametric time-frequency an alysis(basedonatomic decomposition and time-frequency auto regressive moving average models),adaptive
non-parametric time–frequencyanalysis Platform: |
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Author:唐建 |
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Description: In this paper, we study cost-sensitive semi-supervised
learning where many of the training examples are unlabeled
and different misclassification errors are associated
with unequal costs. This scenario occurs in many
real-world applications. For example, in some disease
diagnosis, the cost of erroneously diagnosing a patient
as healthy is much higher than that of diagnosing a
healthy person as a patient. Also, the acquisition of labeled
data requires medical diagnosis which is expensive,
while the collection of unlabeled data such as basic
health information is much cheaper Platform: |
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Author:lin |
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Description: For a particularly long time, automatic diagnosis of diabetic retinopathy digital
fundus images has been an active research topic in the medical image processing
community. The research interest is justified by the excellent potential for new
products in the medical industry and significant reductions in health care costs.
However, the maturity of proposed algorithms cannot be judged due to the lack
of commonly accepted and representative image with a verified ground
truth and strict uation protocol. In this study, an uation methodology is proposed
and an image with ground truth is described-For a particularly long time, automatic diagnosis of diabetic retinopathy digital
fundus images has been an active research topic in the medical image processing
community. The research interest is justified by the excellent potential for new
products in the medical industry and significant reductions in health care costs.
However, the maturity of proposed algorithms cannot be judged due to the lack
of commonly accepted and representative image with a verified ground
truth and strict uation protocol. In this study, an uation methodology is proposed
and an image with ground truth is described Platform: |
Size: 2048 |
Author:mohammad |
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Description: 《专家系统原理与编程》书籍，广泛应用于故障诊断，健康状况评估中。中文书籍- Expert system principle and programming books, widely used in fault diagnosis, health status assessment.
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Author:zuoweijie |
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Description: The e-Health Sensor Shield allows Arduino and Raspberry Pi users to perform biometric and medical applications where body monitoring is needed by using 9 different sensors. This information can be used to monitor in real time the state of a patient or to get sensitive data in order to be subsequently analyzed for medical diagnosis. Biometric information gathered can be wirelessly sent using any of the 6 connectivity options available: Wi-Fi, 3G, GPRS, Bluetooth, 802.15.4 and ZigBee depending on the application.
This board is compatible with Arduino, Raspberry Pi and Intel Galileo boards.
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Size: 821248 |
Author:vasim |
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Description: 心律失常是一种常见的内科疾病，会对患者的生活及健康造成严重影响。当心律失常发生时，心房和心室收缩程序改变，能使心排血量下降30 左右，从而使血液循环失常。因此，对心律失常进行早期诊断具有重要的临床意义,而利用心音信号识别算法可以快速识别心律失常的病例,有助于提高诊断速度。
-Arrhythmia is a common medical diseases, can cause serious influence to the patient s life and health. When cardiac arrhythmias occur, atrial and ventricular systolic program change, can make the cardiac output fell by around 30 , which makes the circulation of the blood disorder. Early diagnosis of arrhythmia, therefore, has important clinical significance, and the use of heart sounds signal recognition algorithm can quickly identify arrhythmia cases, helps to improve the diagnosis speed.
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Author:温嘉杰 |
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Description: 目的:基于云计算及物联网构建母婴云端智能呵护平台、设计移动智能监护终端,通过不同的模块实时显示和存储母婴的各项生理参数,并将监护数据发送给医护人员进行诊断和分析,实现孕妇和医生的远程医疗以及母婴健康信息管理。-Objective: To build a cloud-based computing and physical networking maternal and child care cloud intelligence platform, intelligent monitoring design of mobile terminals, through different modules and store real-time display of the maternal physiological parameters and monitoring data is sent to the medical staff for diagnosis and analysis , pregnant women and doctors realize telemedicine and maternal and child health information management. Platform: |
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Author:Pain |
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Description: 信息科技经过 60 余年的发展，已经普及到社会生活的每一个角落。随着信息技术在国家治理、经济运行的方方面面的应用，大量的数据随之产生。而互联网技术的爆发式发展使得近年来产生的数据总量超过了人类以往产生的历史数据的总和，医疗行业的数据增长幅度尤为突出。
医疗大数据具有巨大的价值,尤其是在临床辅助诊疗和健康管理方面。医疗大数据已经上升到国家战略，同时也是全球学术界与产业界竞争的研究热点。如何利用这些医疗数据，挖掘数据的深层价值，是未来信息科技发展的趋势，也是医疗大数据技术产生的背景。(After more than 60 years of development, information technology has spread to every corner of social life. With the application of information technology in all aspects of national governance and economic operation, a large number of data are generated. The explosive development of Internet technology has made the total amount of data generated in recent years exceed the total amount of historical data generated by human beings in the past, and the growth rate of data in the medical industry is particularly prominent.
Big medical data have great value, especially in clinical assistant diagnosis and health management. Big medical data has risen to national strategy, and it is also a research hotspot in the competition between global academia and industry. How to use these medical data to excavate the deep value of the data is the trend of the development of information technology in the future, and also the background of the emergence of medical big data technology.) Platform: |
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Author:图像放大了 |
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