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. 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, URL: https://www.ijtsrd.com/papers/ijtsrd47655.pdf Paper URL : https://www.ijtsrd.com/engineering/bio-mechanicaland-biomedical-engineering/47655/role-of-advanced-machine-learning-techniques-and-deep-learning-approach-based-decision-support-system-for-accurate-diagnosis-of-severe-respiratory-diseases/patel-smitkumar-hareshbhai
International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 5 Issue 6, September-October 2021 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD47655 | Volume – 5 | Issue – 6 | Sep-Oct 2021
Page 1545
Role of Advanced Machine Learning Techniques and Deep
Learning Approach Based Decision Support System for
Accurate Diagnosis of Severe Respiratory Diseases
Patel Smitkumar Hareshbhai
Student, Department of Biomedical Engineering, Government Engineering College, Gandhinagar, Gujarat, India
ABSTRACT
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,
specificity of Decision support system.
KEY WORDS: Medical diagnosis, Machine learning, Respiratory
Disease, Decision Support System, Transfer Learning, Neural Network
How to cite this paper: Patel Smitkumar
Hareshbhai "Role of Advanced Machine
Learning Techniques and Deep Learning
Approac