Fuzzy Computing in Data Science

3Application of Fuzzy Logic to Healthcare Industry

Biswajeet Sahu¹, Lokanath Sarangi², Abhinadita Ghosh³ and Hemanta Kumar Palo³*

¹ Department of Electronics and Communication Engineering, YBN University Namkum, Ranchi, Jharkhand, India

² Department of Electronics and Communication Engineering, College of Engineering, Bhubaneswar, Odisha, India

³ Department of Electronics and Communication Engineering, ITER, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India

Abstract

The healthcare industries need to deal with the uncertainty in the patient data, random reports, vagueness in medicines and prescriptions, a patient’s mental and physical condition during testing, etc. The Fuzzy Logic (FL) can resolve these issues as it works similar to human minds based on approximate data. The algorithm removes redundancy from a massive database, summarizes, and develops crisp solutions. Its application in the healthcare decision-making process is fast developing due to the difficulties involved in designing and the development of a precise biological system model. The FL enforces researchers, medicos, and technology producers to explore smooth and creative solutions. It can be used as a versatile tool to model, manage, and control as our knowledge, and experience cannot be defined using explicit mathematical models. This motivates the authors to investigate the basic FL framework and analyze its application domains in this field. A descriptive study has been conducted ...