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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM46854
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
â Virtual health technologiesâ incorporation has dramatically changed the way healthcare is provided with increased accessibility, efficiency, and focus on the patients. This project presents a complete solution in the form of the Virtual Health Integration System that incorporates four fundamental modules that include the Disease Detection System, Video Conferencing to conduct real-time doctor-patient consultations, Online Appointment Booking, and a feature to upload reports. the Disease Detection System has been developed to help in early detection of possible health problems. By applying artificial intelligence (AI) and machine learning (ML) algorithms, the system analyzes symptoms and health parameters provided by the patients and uploaded diagnosis reports. It creates initial assessments that can be used to guide the patients towards relevant consultation with a doctor. It is not a substitute to a professional diagnosis, but it is an invaluable starting point towards early detection that helps to trigger earlier action by the patients. The Video Conferencing facility provides secure, in-situ interaction between the doctor and the patient. By facilitating encrypted and easy-to-use video communication among the doctor and the patient, doctors can examine the symptoms of the patient, talk with them about their concerns, study uploaded reports,
KEYWORDS
Publication Date
5/3/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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