FUZZY BASED INTELLIGENT CLINICAL DECISION SUPPORT SYSTEM

Dr. Anooj P. K.

Abstract


Clinical Decision Support Systems (CDSSs) have been utilizing clinical information for a considerable length of time to offer help to clinicians and enhance medicinal services. With the sharp increment in the appropriation of Electronic Health Record (EHR) frameworks, conceiving a framework fit for confronting ambiguity and vulnerability in EHRs and in the meantime protecting the interpretability of the framework is attractive in the plan of keen CDSSs. This paper introduces an upgraded fuzzy evidential (OFE) framework, which can be utilized to help choices in clinical applications as well as in other setting. We have tried the execution of OFE-CDDS on three surely understood UCI clinical datasets: Heart Disease and Pima Indians Diabetes. Our proposed framework accomplished the most noteworthy arrangement precision among comparative frameworks, with exactness of 3.36% and 8.49% over the best similar papers in tests done on the above datasets, individually. The quantity of tenets and found the middle value of number of characteristics in the precursor part of the principles were sensible. These outcomes demonstrate that OFE-CDDS can be utilized as a choice emotionally supportive network in restorative applications.


Keywords


Fuzzy, CDSS, Intelligent system, EHR

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References


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