International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 184 - Number 16 |
Year of Publication: 2022 |
Authors: Prakhar Mittal, Udit Parasher, Ruhi Khanna, Parv Yadav, Sunil Kumar, Mariya Khurshid |
10.5120/ijca2022922147 |
Prakhar Mittal, Udit Parasher, Ruhi Khanna, Parv Yadav, Sunil Kumar, Mariya Khurshid . A Machine Learning-based Healthcare Diagnostic Model. International Journal of Computer Applications. 184, 16 ( Jun 2022), 1-4. DOI=10.5120/ijca2022922147
This To live a healthy life, healthcare is considered very important but it is terribly difficult to get consultation from a doctor nowadays. The basic idea and motive of the project is to build a chatbot system by using AI (Artificial Intelligence) that can predict the health problems and give details of the disease before consulting the Doctor. The system provides text assistance to coordinate with the chatbot. Based on user’s symptoms chatbot will provide what kind of disease user have and provide doctor’s details according to the diagnose. Based on the symptom that user have chatbot will tell user the disease with all the other possible symptoms. The chat will inform whether the disease is major or minor. Hence, user can gain the maximum benefit of this AI based chatbot only after it diagnoses maximum kinds of illness and provide with all the required information.