Case-Based Notations for Technological Problems Solving in the Knowledge-Based Environment

Sheketa, Vasyl; Poteriailo, Liudmyla; Romanyshyn, Yulia; Pikh, Volodymyr; Pasyeka, Mykola; Chesanovskyy, Mykola

doi:10.1109/stc-csit.2019.8929784

Cited by 12 publications

(3 citation statements)

References 5 publications

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“…There are two main models of knowledge used to describe a problem [32]- [36]: attribute-value pairs and relational objects. The "attribute-value" pairs themselves are the simplest and most commonly used type of representation.…”

Section: Structure and Pre-processing Of Datamentioning

confidence: 99%

Data optimization for the knowledge bases in the oil and gas Monitoring-While-Drilling (MWD) Systems

Poteriailo

Sheketa

Romanyshyn

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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The ability of a knowledge-oriented system to learn requires the selection and organization of data. The article is devoted to the disclosure of the stages of data preparation for the application of case-based procedures to support decision-making by the operator of the technological process in the field of oil and gas wells drilling. The presented concept allows concentrating expert experience in the subject area and satisfies the criteria of the main sources of knowledge required for the functioning of case-based considerations. The main potential of artificial intelligence to learn is based on semantic dictionaries of the subject area, case databases in the form of knowledge bases, metrics of similarity, adaptation and configuration containers, which are identified as the sources of knowledge. The effectiveness of using computer simulators as a platform for experimental research of new models of complex technological processes is estimated.

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Section: Structure and Pre-processing Of Datamentioning

confidence: 99%

Data optimization for the knowledge bases in the oil and gas Monitoring-While-Drilling (MWD) Systems

Poteriailo

Sheketa

Romanyshyn

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…The data analyst can analyze the data and make decisions; it offers suggestions and predicts diseases using data and metadata. Based on data analysis methods, we also offer a clinical data warehouse model [37,38]. The overall system is implemented in such a way that it effectively serves as a data warehouse for the medical information system.…”

Section: Main Aspects Of the Medical Activity Of The Oncology Clinicmentioning

confidence: 99%

“…The technical aspect of the problem covers: 1) the development of theoretical models of data and knowledge representation for the solution of relevant medical issues and 2) specific hardware-software implementation of the information base based on the developed models. The technological aspect coordinates the developed technical automated system and a technological scheme of the medical and diagnostic processes (figuratively speaking, i.e., 'a specific recipe for the implementation' of the automated system in the medical and diagnostic process) [38]. And finally, the psychological and pedagogical aspects imply the appropriate training of medical personnel.…”

Section: Main Aspects Of the Medical Activity Of The Oncology Clinicmentioning

confidence: 99%

Information System for Screening and Automation of Document Management in Oncological Clinics

Sheketa¹,

Pasyeka²,

Pasieka³

et al. 2021

TOBIOIJ

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Introduction: Automation of business documentation workflow in medical practice substantially accelerates and improves the process and results in better service development. Methods: Efficient use of databases, data banks, and document-oriented storage (warehouses data), including dual-purpose databases, enables performing specific actions, such as adding records, introducing changes into them, performing an either ordinary or analytical search of data, as well as their efficient processing. With the focus on achieving interaction between the distributed and heterogeneous applications and the devices belonging to the independent organizations, the specialized medical client application has been developed, as a result of which the quantity and quality of information streams of data, which can be essential for effective treatment of patients with breast cancer, have increased. Results: The application has been developed, allowing automating the management of patient records, taking into account the needs of medical staff, especially in managing patients’ appointments and creating patient’s medical records in accordance with the international standards currently in force. This work is the basis for the smoother integration of medical records and genomics data to achieve better prevention, diagnosis, prediction, and treatment of breast cancer (oncology). Conclusion: Since relevant standards upgrade the functioning of health care information technology and the quality and safety of patient’s care, we have accomplished the global architectural scheme of the specific medical automation system through harmonizing the medical services specified by the HL7 international.

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Designing Network Computing Systems for Intensive Processing of Information Flows of Data

Mykhailyshyn¹,

Pasyeka²,

Sheketa³

et al. 2020

Data-Centric Business and Applications

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Case-Based Notations for Technological Problems Solving in the Knowledge-Based Environment

Cited by 12 publications

References 5 publications

Data optimization for the knowledge bases in the oil and gas Monitoring-While-Drilling (MWD) Systems

Data optimization for the knowledge bases in the oil and gas Monitoring-While-Drilling (MWD) Systems

Information System for Screening and Automation of Document Management in Oncological Clinics

Designing Network Computing Systems for Intensive Processing of Information Flows of Data

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