Accurate Medical diagnosis is not always possible at every medical center, especially in the Developing Countries where poor healthcare services and lack of advanced diagnostic methods and equipments affects procedures of medical diagnosis .Also, physician intuition and experience are not always sufficient to achieve high quality medical procedures results. Therefore, diagnostic errors and undesirable results are reasons for a need for Machine Learning Techniques based decision support system, which in turns reduce diagnostic errors, increasing the patient safety and save lives. This research focuses on this aspect of Medical diagnosis by learning pattern through the collected dataset of respiratory diseases such as pneumonia and Covid 19, also consist implementation and test of intelligent medical decision support system to assist physicians and radiologists can deliver great assistance by improving their decision making ability. In this Research paper, the proposed System use Neural network Resnet 50 and transfer learning technique to classify these severe diseases and performs evaluation of precision, accuracy, speci city of Decision support system. 
by Patel Smitkumar Hareshbhai "Role of Advanced Machine Learning Techniques and Deep Learning Approach Based Decision Support System for Accurate Diagnosis of Severe Respiratory Diseases"
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021,
