Prospective Value of Big Data Analysis Method for Assessment of Pharmacotherapy Quality and Efficacy in Patients with Arterial Hypertension

Бурыкин, И. М.; Aleyeva, G. N.; Hafizyanova, R. H.

doi:10.17691/stm2017.9.4.24

Cited by 7 publications

(2 citation statements)

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“…For example, for rural users, it is mainly to meet their needs for living conditions such as electricity and heating, while for urban residents, it is more to improve their living environment. Therefore, analysis and research can be carried out from two aspects: one is to measure the level of service quality provided by enterprises in the era of big data from a macro perspective; On the other hand, it is necessary to formulate development strategies and methods that are in line with customer groups in combination with the company's own characteristics [5]. Therefore, the service quality judgment matrix A with the evaluation index a can be constructed, as shown in formula (1):…”

Section: Assignment Of Evaluation Index Weightsmentioning

confidence: 99%

Research on the improvement of rural power service quality based on big data analysis method

Wang

et al. 2022

Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022)

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Rural power service is an important support for realizing urban-rural integration, and it is of great significance to promote regional economic development and improve people's living standards. However, with the increasing maturity of Internet technology and information and communication means in the era of big data and the popularization of intelligent terminal equipment in rural areas, people's demand for services is increasing day by day, and the quality of customer service has become critical for power grid companies. Rural power service quality is an important part of power grid companies, and its development and progress play a pivotal role in China's national economy and social stability. The improvement of rural power service quality in the era of big data is a new problem in the current development process of power grid companies. It is necessary to combine modern information technology, artificial intelligence technology and information processing methods on the existing basis to effectively analyze and improve user needs and changes in customer experience, so as to provide more accurate and high-quality services for the majority of power supply enterprises. This paper first analyzes the establishment and empowerment of service quality evaluation indicators, and then analyzes the development status of rural power service quality, and puts forward specific plans to improve our country's rural power transmission capacity and promote the healthy and sustainable development of power grid enterprises in the era of big data. Secondly, based on the service work order, the work order classification is carried out, and the work order classification method and the rural power transmission service quality in the era of big data are analyzed. By analyzing the classification of work orders, we evaluate the service quality of rural power transmission in our country, and propose a service quality evaluation method, which can promote the healthy and sustainable development of China's power industry.

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Section: Assignment Of Evaluation Index Weightsmentioning

confidence: 99%

Research on the improvement of rural power service quality based on big data analysis method

Wang

et al. 2022

Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022)

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“…Авторы исследования [11] отмечают перспективность метода анализа больших данных (Big Data) при оценке качественных и количественных показателей фармакотерапии пациентов с артериальной гипертензией. В рамках публикации [12] выполнен обзор методов и систем интеллектуального анализа медицинских данных, а также предложена архитектура и программная платформа по анализу разнородных источников структурированных и неструктурированных данных.…”

Section: обзор исследованийunclassified

Development of a Model for Control the Flow of Patients with Cardiovascular Diseases Using Data Mining Methods

Bolodurina¹,

Nazarov²,

Kicha³

et al. 2020

CTAC&R

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Введение В настоящее время технологии Big Data стали одним из доминирующих направлений в развитии информационных технологий. Предполагается, что работа с колоссальными объемами неструктурированных данных окажет наибольшее влияние на производство [1], госуправление [2], торговлю [3] и медицину [4]. Благодаря методам интеллектуального анализа больших данных появилась возможность исследования эффективности проводимой терапии при обработке всей доступной информации о практике лечения [5]. На основе анализа известных историй болезни и диагностики в практику врачей входит широкое использование систем поддержки принятия решений, позволяющих предоставить доступ к опыту тысяч коллег по всей стране. Методы персонифицированной и профилактической медицины, основанные на удаленном мониторинге пациентов, приведут к существенному сокращению затрат и повышению качества жизни [6]. Распространение различных сенсоров активностей человеческого организма, подключаемых к гаджетам, позволяет сократить необходимость проведения лабораторных исследова

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Big data analysis on medical services in coronary heart disease for outpatient care quality management and assessment of the risk of the adverse outcomes

Nazarov¹,

Толпыгина²,

Kicha³

et al. 2021

Profil. med.

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Prospective Value of Big Data Analysis Method for Assessment of Pharmacotherapy Quality and Efficacy in Patients with Arterial Hypertension

Cited by 7 publications

References 0 publications

Research on the improvement of rural power service quality based on big data analysis method

Research on the improvement of rural power service quality based on big data analysis method

Development of a Model for Control the Flow of Patients with Cardiovascular Diseases Using Data Mining Methods

Big data analysis on medical services in coronary heart disease for outpatient care quality management and assessment of the risk of the adverse outcomes

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