An Expert System for Screening and Prognosis of Diseases: An Instance of Healthcare Management

Authors

  • Sumit Das JIS College of Engineering, Information Technology, Kalyani, 741235, India
  • Monali Sanyal JIS College of Engineering, Information Technology, Kalyani, 741235, India
  • Rghab Rano JIS College of Engineering, Information Technology, Kalyani, 741235, India
  • Rik Choudhury JIS College of Engineering, Information Technology, Kalyani, 741235, India

Keywords:

Disease Classification, Clinical Decision Support, Prognosis, Artificial Intelligence, Expert System, Programming in Logic

Abstract

The background of this study is that a Medical Expert System made in Visual Prolog is proposed. This expert system makes a differential diagnosis among heart, lung, kidney, skin, and brain diseases. This system is designed to give help to a medical expert in making the appropriate diagnosis of a patient. Based on a patient's symptoms and medical background, SWI Prolog offers the diagnosis through the declarative knowledge representation methodologies. On the basis of the diagnosis and current medical regulations, it might also offer other treatment options. Medical data analysis using SWI Prolog is used to spot trends or patterns in patient outcomes or disease development. Making better-educated choices concerning patient care and treatment could be made easier by healthcare providers as a result. An SWI Prolog-based medical expert system's output will be influenced by the quality of the data and code used to generate it, as well as by the medical specialists that worked on its design and implementation. The creation of more sophisticated expert systems can be particularly beneficial for early disease detection, helping to reduce the burden of diseases by detecting them more accurately and efficiently.

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Published

2023-04-01

How to Cite

Das, S., Sanyal, M., Rano, R. ., & Choudhury, R. . (2023). An Expert System for Screening and Prognosis of Diseases: An Instance of Healthcare Management. Advancement in Management and Technology (AMT) , 3(4), 56-68. Retrieved from https://ejournal.lincolnrpl.org/index.php/ajmt/article/view/107

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