May 2024
Beginner to intermediate
336 pages
8h 29m
English
book
Supervised and Unsupervised Data Engineering for Multimedia Data
by Suman Kumar Swarnkar, J. P. Patra, Sapna Singh Kshatri, Yogesh Kumar Rathore, Tien Anh Tran
Content preview from Supervised and Unsupervised Data Engineering for Multimedia Data
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3Multimedia Data in Healthcare System
Sarita Gulia1, Pallavi Pandey2 and Yogita Yashveer Raghav3*
1Department of Computer Science and Engineering, K. R. Mangalam University, Gurugram, Haryana, India
2School of Engineering & Technology, K. R. Mangalam University, Gurugram Haryana, India
3Computer Science Department at K. R. Mangalam University, Gurugram, Haryana, India
Abstract
Data that combines many media is multimedia. Types of data include text, numbers, images, audio, and video. Multimedia is crucial for presenting information. It has diverse applications in education, training, business, advertising, and entertainment. Multimedia data can feed neural network models for disease diagnosis and prediction, benefiting the healthcare business. Feature identification, extraction, and analysis can use several machine learning methods. Multimedia technology allows subjects to view diagnosis images such as X-rays, CT scans, and MRI scans to grasp the issue better. Detection and staging of illness are possible. Combining multimedia techniques and technology can improve doctor-patient communication. With multimedia technology, patients may easily recall offered information, promoting therapeutic progress. New algorithms in a cloud system can improve multimedia data management, including patient, specialized doctor, and nursing details. Multimedia components include text, images, sounds, videos, and graphics. Video representation of data improves understanding of diseases and therapy, ...
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