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The identification of chronic kidney disease in its early stage is crucial to diagnose it on time. This prediction will provide enough time for the doctor or expert for the treatment of the patient and also reduce the risk. The treatment cost also decreases if the chronic kidney disease is recognized in its initial phase. Many researchers develop a number of expert or intelligent systems which help a doctor in the determination of this deadly disease, and after that, experts can diagnose the same disease before it becomes worse. Hence, these systems are also called lifesavers. The primary intent of this review paper is to provide a comparative study between several systems used for the diagnosis of CKD. This study evaluates which medical expert system is better to opt for the detection of CKD. The comparison of systems is made by considering the accuracy, and a graphical representation of it is also provided, which makes it easy to understand.
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Sharma et al. (2022) studied this question.
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