Patient Health Services for Early Detection Therapy of Diabetes Mellitus with Expert System and IOT

Hojjat Baghban, Paryati, Shashi Kant Gupta, K. W. Ida Bagus, H. K. Bambang, K. S. Martin, A. W. Agung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Diabetes mellitus is a disease known as diabetes, this disease is caused by a metabolic disorder caused by many factors such as a lack of insulin or the body's inability to utilize insulin. At first, many people did not know that they were suffering from diabetes mellitus due to unhealthy lifestyle factors such as consuming too much food containing excessive levels of sugar and salt, rarely doing regular exercise activities every week and a lack of knowledge and skills. Discussing diabetes mellitus, so this has led to many new people learning about diabetes mellitus in conditions that are already in an advanced stage or a high stage. Lack of knowledge among the public about the causes, symptoms and how to treat and treat diabetes mellitus is the main factor causing diabetes mellitus to grow rapidly. So the researchers made this research using forward and backward chaining reasoning methods accompanied by healing therapy and treatment methods. This system was created so that sufferers can understand and understand the types of diabetes mellitus along with healing therapies and how to treat them. This system provides several disease prevention solutions according to the type of disease. The system development methodology uses the waterfall method. The application software used to create this application program is Dreamweaver MX, XAMPP, Adobe Photoshop, MySQL, Opera / Mozilla Firefox. The results of the research are in the form of an application program that can help users find out the type of diabetes mellitus and provide extensive information about diabetes mellitus and find out how to treat it and cure it.
Original languageAmerican English
Title of host publication Information Systems Engineering and Management
PublisherSpringer Nature
Pages1
Number of pages22
Volume7
ISBN (Electronic)978-3-031-65022-2
ISBN (Print)978-3-031-65021-5
StatePublished - 24 09 2024

Publication series

Name Information Systems Engineering and Management
PublisherSpringer Nature

Keywords

  • Backward chaining ·Forward chaining ·Expert system ·Diabetes miletus ·Waterfall

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