Thoracic Disease Detection Using Supervised Learning

Innovation in the sector of Machine learning in the medical field can help in diagnosis and treatment of several diseases with absolute accuracy. Implementation of machine learning in healthcare has already proven to be a positive experience for patients as it also contributes towards intense care. In our paper, we have worked on diagnosis of different thoracic disease using the Machine Learning model and Chest X-ray images as input. The main focus of our work was on the Supervised Machine Learning Model i.e, Logistic Regression, which was implemented with Principal Component Analysis, and we obtained the highest accuracy of 0.78.