Applications of HCI in Health Care for Diagnosis of Rheumatoid Arthritis

The human-computer interaction (HCI) is a discipline concerned with the design, evaluation, and implementation of interactive computing systems for human use and the study of major phenomena in the health care system. There is a growing demand for healthcare, and this necessitates the development of healthcare technology. Digital technologies are now playing a major role in delivering healthcare and individuals' health and well-being management experiences. The use of digital technology like digital x-ray and computer interface-based applications makes many tasks easy for doctors and humans. These computer interface system saves time with most accurate results as compared to humans. For health care systems, a computerdeveloped application is used to save time. It was also used to disseminate doctors' efficiency for critical tasks, which made it easy by computer interface such as diagnosis of a critical disease like rheumatoid arthritis. This research is based on computer applications and their doctors' usage to correct Rhemutoidarthrits in an early stage. This research aims to use the software and identify if it is currently being used to enhance or upgrade the level of diagnosis system for doctors using deep learning methods. The Research analysis of the software is performed by collecting digital x-ray image data. The results of the research share the network-wise details of software for the diagnosis of Rheumatoid arthritis.

Keywords: Abnormal, Automatic Detection, Computer System, Convolutional network, Convolution, Deep Learning, Digital x-ray, Features, Full Connected, Gabor Filter, HCI Design, Human-Computer, Image Preprocessing, Normal, Neural Network, Prediction, Pooling, Rectified, Rheumatoid arthritis, Segmentation.