학술논문
RespoBot: Chatbot used for the prediction of diseases using Machine Learning and Deep Learning with respect to Covid-19
Document Type
Conference
Author
Source
2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) Advances in Computing, Communication and Applied Informatics (ACCAI), 2023 International Conference on. :1-6 May, 2023
Subject
Language
Abstract
Abstract-Resembling man’s evolution over time the life threatening diseases have also evolved with him a disease is basically a disorder in structure or functioning of an organism’s body. There are a several kinds of diseases but the most dangerous ones are the infectious diseases. Infectious diseases occur when a foreign body such as bacteria, fungi, and virus enter the body and attack the immune system. That being the smaller problem of infectious diseases as the main problem it’s a communicable disease that spreads when a uninfected person comes in contact with an infected person they are highly likely to contract the same. The prediction is performed using Logistic Regression (LR), Support Vector Machine (SVM), Random Forest (RF), Stochastic Gradient Descent SGD), Gradient Boosting (GD), Decision Trees (DT), Naive Bayes Classifier (NBC) and Voting Classifier (VC) ensemble technique. After the prediction a comparative analysis in terms of accuracy is performed. A Chatbot using Natural Learning Processing on a Neural Network is employed. The user is asked to upload a Chest X-ray if in possession as a second step confirmation for Tuberculosis, Pneumonia, Covid-19 and Healthy lung. In terms of highest accuracy for Covid-19 the GBC, VC, 56 tops the charts and for other diseases also GBC, VC, ANN top the charts.