Article
Applying Fuzzy Rules to the Analysis of Lung Infection
Soft computing is a collection of interrelated approaches that enable decision-making based on trustworthy information or the experience of experts. These days, the medical field makes extensive use of a variety of soft computing approaches, including neural networks, fuzzy logic, genetic algorithms, and hybrid systems. An algorithm for analyzing lung infections is described in this research. Developing the system architecture to determine the likely disease stage that a patient may have is the primary goal. The rule-based method is used to determine the disease's severity level. To calculate an infection level, the algorithm utilizes a Rulebase output that the user has entered.
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