Machine intelligent diagnostic system (MIDs): an instance of medical diagnosis of tuberculosis
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ORIGINAL ARTICLE
Machine intelligent diagnostic system (MIDs): an instance of medical diagnosis of tuberculosis Sumit Das1
•
Manas Kumar Sanyal2
Received: 19 July 2019 / Accepted: 25 March 2020 Ó Springer-Verlag London Ltd., part of Springer Nature 2020
Abstract The article aims to review, analyze, design and implement a philosophy of medical diagnosis by artificial intelligence (AI) and soft computing techniques. The theme of the paper is that there are abundant corruptions in therapeutic judgment; in its place of appropriate diagnosis, majority practitioners go behind the narrow path by trapping the people at a serious phase. The ordinary community suffers deficient in diagnosis for higher investigative costs as well as the lack of certified practitioners. This article proposes some AI techniques to eradicate this lacuna by designing a prototype. The proposed prototype here termed as machine intelligent diagnostic system (MIDs), which has the capability of learning, thinking, reasoning and managing uncertainty as a real-world doctor. The model structured according to AI techniques considers the different cases of the disease to implement it. This article analyzes the shortcoming of MIDs, which can perform as a doctor to serve society as regular fashion as well as at the time of crisis as a crisis-manager. The degrees of the acuteness of patients’ symptoms are perceived by a membership function, which is used to tackle the emotion of the patients, and a fuzzy logic membership function is being used to calculate probabilities of diseases. Finally, this work finds smart results of MIDs, which can serve as doctors to some extent to compensate for the crisis of doctor in the universe. Keywords Machine intelligent diagnosis system (MIDs) Knowledge-base (KB) Fuzzy logic (FL) Artificial intelligence (AI) Membership function (MF) Abbreviations AI Artificial intelligence FL Fuzzy logic SD Standard deviation MF Membership function M Mean TB Tuberculosis KB Knowledge base LV Linguistic variable 5G Fifth generation DFS Depth first search
& Sumit Das [email protected] Manas Kumar Sanyal [email protected] 1
Information Technology, JIS College of Engineering, Kalyani 741235, India
2
Department of Business Administration, University of Kalyani, Kalyani 741235, India
1 Introduction Artificial intelligence (AI) is the set of techniques applied in software and hardware system through programming to create an intelligent machine that acts like an intelligent human being. Soft computing is the set of computational techniques used to model the real-world philosophy in our day-to-day life. In this model, part of soft computing amalgamated with AI techniques to acquire computational intelligence in the machine. A diagnosis problem in which a patient’s symptoms are diagnosed as normal or abnormal is one type of ambiguity, and diagnosis is one of the fields in which patient’ emotion is a crucial issue. At the initial stage, the symptoms of the patient are per
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