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17 mar 2021 · Data mining, a subfield of artificial intelligence that makes use of vast amounts of data in order to allow significant information to be extracted through previously unknown patterns, has been progressively applied in healthcare to assist clinical diagnoses and disease predictions [2].
- Adaptations of data mining methodologies: a systematic literature ...
Data mining is defined as a set of rules, processes,...
- The role of data science in healthcare advancements: applications ...
Data mining techniques include data grouping, data...
- Adaptations of data mining methodologies: a systematic literature ...
25 maj 2020 · Data mining is defined as a set of rules, processes, algorithms that are designed to generate actionable insights, extract patterns, and identify relationships from large datasets (Morabito, 2016). Data mining incorporates automated data extraction, processing, and modeling by means of a range of methods and techniques.
11 sie 2021 · This article introduced the main medical public database and described the steps, tasks, and models of data mining in simple language. Additionally, we described data-mining methods along with their practical applications.
16 sie 2021 · Data mining techniques include data grouping, data clustering, data correlation, and mining of sequential patterns, regression, and data storage. There are several sources to obtain healthcare-related data (Fig. 1 ).
3 maj 2011 · Suggested guidelines on how to use data mining algorithms in each area of classification, clustering, and association are offered along with three examples of how data mining has been used in the healthcare industry.
20 lut 2024 · Clinical data mining of predictive models offers significant advantages for re-evaluating and leveraging large amounts of complex clinical real-world data and experimental comparison data for tasks such as risk stratification, diagnosis, classification, and survival prediction.
Choosing a suitable technique for medical data is a complex process as each tool provides a different rate of success. This systematic literature review aims to examine the techniques of data mining has been applied in healthcare management systems.
