Development of the Information System Based on BigData Technology to Support Endocrinologist-Doctors

Mukasheva, Assel; Iliev, Teodor; Balbayev, Gani

doi:10.1109/eeae49144.2020.9278971

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…The main advantage of this kind of research is the development of further health care for the population. Similar systems developed earlier did not cover the full amount of heterogeneous information that is collected in the diagnosis and treatment of diabetes mellitus, nor did they use Big Data technologies and cloud services as tools [48,49].…”

Section: Discussion O F Results Of the Developed System To Assist The...mentioning

confidence: 99%

Developing a system for diagnosing diabetes mellitus using bigdata

Mukasheva

Daineko

Astaubayeva

et al. 2022

EEJET

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Diabetes is among the socially significant diseases, which leads to high costs for the diagnosis and treatment of diabetes. Diagnosis and treatment of diabetes is currently one of the important tasks in medicine at the present stage of development of medical services. An important direction in the development of medical services for the population is the development and implementation of various problem-oriented information systems. Similar systems developed earlier did not cover the entire amount of heterogeneous information that is collected when diagnosing and prescribing the course of diabetes treatment, nor did they use technologies and cloud services as tools for Big Data. In this article, let’s make use of the predictive analytic to forecast and categorize the type of diabetes which offers an effective method for treating and curing patients at a reduced cost, with improved results such as affordability and availability. An information system platform has been developed and configured to manage the Hadoop cluster, as well as a non-relational database that uses and processes unstructured data in various formats. All experimental research, development of methods and algorithms, as well as solving computational problems were implemented using software languages for application development. The novelty lies in the research of distributed computing models that provide efficient execution of developed algorithms using the conceptual model of the processes of search, extraction and analysis of unstructured data in large data sets. The practical implementation of algorithms was carried out on the basis of methods of object-oriented programming and object-oriented databases

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Section: Discussion O F Results Of the Developed System To Assist The...mentioning

confidence: 99%

Developing a system for diagnosing diabetes mellitus using bigdata

Mukasheva

Daineko

Astaubayeva

et al. 2022

EEJET

View full text Add to dashboard Cite

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“…The work presents an action plan for disseminating new NIST standards and highlights the greater memory and computational requirements of post-quantum cryptography systems due to their larger key sizes and increased algorithmic complexity. The authors [34][35][36] analyze various factors influencing the transition process and propose solutions to expedite it, including conducting studies to evaluate algorithm replacements in different conditions, addressing political and social aspects of the transition, and exploring the application of these processes to new branches of cryptography, such as confidential computing protocols, blockchain, and homomorphic encryption.…”

Section: Discussionmentioning

confidence: 99%

Analysis of Existing Approaches and Algorithms of Post-Quantum Cryptography

Kerimbayeva

2023

RIA

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The rapidly evolving field of post-quantum cryptography necessitates a comprehensive analysis of existing technologies to determine their efficiency and reliability. This study aims to identify the strengths and weaknesses of contemporary approaches and algorithms in post-quantum cryptography, ultimately pinpointing the most effective solutions. To achieve this objective, an analytical comparison of practical post-quantum cryptography systems was conducted, considering key metrics such as security against quantum attacks, computational efficiency, compatibility with existing systems, resistance to various cyber threats, ease of implementation, potential for standardization, and compliance with regulatory requirements. The findings reveal that while numerous approaches and algorithms exist in post-quantum cryptography, the NTRU and SIKE algorithms demonstrate superior efficacy. Additionally, WOTS+, Dilithium, and SABER exhibit promising potential, each possessing unique advantages and disadvantages concerning key size, computation speed, attack resistance, and implementation feasibility. This study offers practical value by providing guidance in the selection and adoption of post-quantum cryptography technologies, thereby contributing to the field's advancement and ensuring robust security in a post-quantum era.

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“…In addition privacy preservation techniques are embedded in the architecture of medical knowledge graph. The authors discuss development of information system based on big data for treatment of diabetes [4]. The system collects heterogeneous data from various sources, pre-process the data, and stores in a database.…”

Section: Introductionmentioning

confidence: 99%

Privacy preserving knowledge graph for healthcare applications

Sharma

Bhatt

2022

J. Phys.: Conf. Ser.

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Knowledge graphs in healthcare applications help all the stakeholders in the healthcare domain. The doctors can consult across various hospitals for a particular scenario or can query the knowledge graph for the history of the patients. Similarly, the patients can query the knowledge graph through well-defined interface or a Chabot system for location of the nearest doctor with a high rating. The physicians can query the knowledge graph for a generic drug family or detecting salt of a particular drug. The paper proposes architecture for knowledge graph in healthcare domain. Further, privacy preserving for a medical domain is an essential requirement. The paper proposes privacy preserving schemes for knowledge graph for healthcare applications.

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Development of the Information System Based on BigData Technology to Support Endocrinologist-Doctors

Cited by 4 publications

References 7 publications

Developing a system for diagnosing diabetes mellitus using bigdata

Developing a system for diagnosing diabetes mellitus using bigdata

Analysis of Existing Approaches and Algorithms of Post-Quantum Cryptography

Privacy preserving knowledge graph for healthcare applications

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