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Some Simple Methods of Cybernetic Data Processing of Diagnostic and Physiological Investigations

机译：诊断和生理学研究的控制论数据处理的一些简单方法

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A system is described which uses simple rules for the treatment and storage of materials of clinical observations and physiological experiments. (Author)

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作者
Genes, V. S.;
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年度 1968
页码 p.1-290
总页数 290
原文格式 PDF
正文语种 eng
中图分类
关键词
Diagnosis ; Data processing systems ; Diseases ; Tables ; Etiology ; Therapy ; Computers ; USSR;

机译：诊断;数据处理系统;疾病;表;病因学;治疗;计算机;苏联;

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1. CORPUSCULAR DIAGNOSTICS AND PROCESSING METHODS APPLIED IN INVESTIGATIONS OF LASER-PRODUCED PLASMA AS A SOURCE OF HIGHLY IONIZED IONS [Review] [J] . Woryna E., Wolowski J., Mroz W., Laser and Particle Beams . 1996,第3期

机译：激光等离子体产生的高电离离子研究中的体诊和处理方法[综述]
2. Data pre-processing methods for NPP equipment diagnostics algorithms: an overview [J] . Iurii D.Katser, Vyacheslav O.Kozitsin, Ivan V.Maksimov, Nuclear Energy and Technology . 2021,第2期

机译：NPP设备诊断算法的数据预处理方法：概述
3. Combustion process investigation in a high speed diesel engine fuelled with n-butanol diesel blend by conventional methods and optical diagnostics [J] . S.S. Merola, C. Tornatore, S.E. Iannuzzi, Renewable energy . 2014,第apra期

机译：用常规方法和光学诊断方法研究以正丁醇柴油为燃料的高速柴油机的燃烧过程
4. Predictive capabilities of statistical learning methods for lung nodule malignancy classification using diagnostic image features: an investigation using the Lung Image Database Consortium dataset [C] . Matthew C. Hancock, Jerry F. Magnan Conference on Computer-Aided Diagnosis . 2017

机译：统计学习方法对使用诊断图像特征进行的肺结节恶性分类的预测能力：使用肺图像数据库联盟数据集的调查
5. Estimation, model checking and diagnostics in finite mixture models for point mass data: Methods in a Bayesian framework. [D] . Lynch, Miranda L. 2011

机译：点质量数据的有限混合模型中的估计，模型检查和诊断：贝叶斯框架中的方法。
6. Signal and Image Processing of Physiological Data: Methods for Diagnosis and Treatment Purposes [O] . Anne Humeau-Heurtier, Edite Figueiras, Joao Cardoso 2016

机译：生理数据的信号和图像处理：诊断和治疗目的方法
7. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

机译：摘要的各个身体部位或器官可被分析以识别在人体内的不同的疾病。指甲分析来识别人体疾病的方法之一。指甲是身体一部分是离心脏最远，因此在最后接受氧气。作为结果，指甲是第一谁表现出人体疾病的症状。指甲可以容易地捕获用于诊断和没有重装或需要使用指甲图像用于疾病诊断，比如在其他测试和扫描过程没有特定的条件。人的指甲提供有关投诉或取决于它们的形状，纹理和色彩在人体内的任何营养失衡有益的信息。在人类中，许多全身性皮肤疾病是可以很容易地通过两个四肢指甲的仔细检查分析。很多指甲病已发现众多潜在系统性疾病的主要症状。在指甲的颜色，质地和形状的变化是许多疾病主要影响指甲的迹象。考虑到所有的指甲的这些性能的系统被提出，用于识别人指甲这样的变化以获得更精确的结果，并毫不费力预测许多疾病用途的数字图像处理（DIP）方法。随着物联网（IOT）的概念，新兴的互联网将生成的报告提供远程，这将帮助用户降低运输工作。由于系统必须处理大量的私人数据，数据的安全性必须得到保证。为了保持数据的机密性，使用Blockchain的概念，它是在数据管理领域的大多数新兴的概念之一。本文包含了数字图像处理的指甲图像，IOT（ThingSpeak云）的使用为数据存储和执行Blockchain的特征提取的执行，以保持固定的系统和盗窃免费。关键词：诠释薄GS（IOT），图像的ERNET PROC essin克，薄型gSpeak，RG乙vavalues，平均数PI XEL vavalues，阵营kchain，哈希密钥。疾病诊断系统：在人类指甲异常
8. Investigations of Lexidata 3400 Image Processor and Diagnostics; Jindalee paper no. 147 [R] . Tucker, S. P. 1981

机译：调查Lexidata 3400图像处理器和诊断;金达利纸业没有。 147

Some Simple Methods of Cybernetic Data Processing of Diagnostic and Physiological Investigations

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