Software Concept and Knowledge Extraction for Data Mining In Healthcare Sectors

A technique called data mining makes it easy to extract valuable insights from large databases. It is the procedure of acquiring knowledge ‎from information. This technical capability has generated much interest in society recently, especially in the information sector. Focusing on ‎the healthcare industry, which has significant implementation issues, this article emphasizes the need for software in data mining by offering ‎important backing for the development of effective and maintainable systems. Designing dependable systems, specifying both functional ‎and non-functional needs, creating efficient algorithms, guaranteeing sustainable development, improving performance, and facilitating inte-‎gration are important elements of software pertinent to this field. The study underlines that software underpins the execution of good and ‎efficient data mining techniques. Additionally, this research will examine uses of data mining in healthcare information as well as related ‎problems. This descriptive study examines the ideas, problems, and techniques applied in data mining, particularly in the healthcare sector‎.

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Publication Details

Journal
International Journal of Basic and Applied Sciences
Published
2026-01-26
DOI
https://doi.org/10.14419/472vp602
Primary Topic
Artificial Intelligence in Healthcare
Type
article
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article

Software Concept and Knowledge Extraction for Data Mining In Healthcare Sectors

Hamid Jassam MOHAMMED
International Journal of Basic and Applied Sciences
Artificial Intelligence in Healthcare
article

Software Concept and Knowledge Extraction for Data Mining In Healthcare Sectors

Hamid Jassam MOHAMMED
article en

Abstract

A technique called data mining makes it easy to extract valuable insights from large databases. It is the procedure of acquiring knowledge ‎from information. This technical capability has generated much interest in society recently, especially in the information sector. Focusing on ‎the healthcare industry, which has significant implementation issues, this article emphasizes the need for software in data mining by offering ‎important backing for the development of effective and maintainable systems. Designing dependable systems, specifying both functional ‎and non-functional needs, creating efficient algorithms, guaranteeing sustainable development, improving performance, and facilitating inte-‎gration are important elements of software pertinent to this field. The study underlines that software underpins the execution of good and ‎efficient data mining techniques. Additionally, this research will examine uses of data mining in healthcare information as well as related ‎problems. This descriptive study examines the ideas, problems, and techniques applied in data mining, particularly in the healthcare sector‎.

International Journal of Basic and Applied SciencesVol. 15(1)
University of Baghdad (IQ)
Industry, innovation and infrastructure
Openalex Percentile: Top 80%
Artificial Intelligence in Healthcare
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