Artificial Intelligence, Machine Learning and User Interface Design

Application Using Machine Learning to Predict Child’s Health

Author(s): Saurabh Kolapate*, Tejal Jadhav and Nikhita Mangaonkar

Pp: 174-190 (17)

DOI: 10.2174/9789815179606124010011

* (Excluding Mailing and Handling)

Abstract

Nowadays, modern technologies are applied in many different areas of medical science. One such piece of technology that helps in the diagnosis of numerous illnesses and infections is the expert system. The Medical Expert System was created to assist doctors in making diagnoses and to make it easier for the public to recognize disorders. To diagnose the user, it treats facts and symptoms as queries or inputs. This suggests that a medical expert system makes a diagnosis based on information about the patient and knowledge of the diseases. Designing an Expert System for disease diagnosis in youngsters up to the age of 16 is the main goal of this project. Python, Java, and Flask are all used as computer programming languages. The selected symptoms supplied as the question will enable the expert system to correctly diagnose these diseases. With this discovery, we think the creation of an expert system will be advantageous for disease diagnosis in pediatric instances and will also become more affordable. Multiple tests are necessary for the diagnosis of disorders in children because the symptoms might occasionally be deceiving. In these situations, an expert system can aid in identifying and treating the true issue. In addition to a prescription, it can diagnose the illness and offer information.


Keywords: Care, Child, Children, Check-ups, Diagnosis, Expert system, Health, Rule-based, Respiratory distress.

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