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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM19758
Volume:
7 |
5 |
May 2023
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.
Smart Healthcare Detection system are revolutionizing in the field of healthcare by incorporating advance technologies like Artificial Intelligence (AI), Machine Learning (ML) and Internet of Things (IoT) so that we can improve care being given to patient, improve with their diagnosis and treatment outcomes. These systems leverage various data sources, including electronic health records, real time monitoring sensors (to enable early detection of diseases), provide personalized treatment plans and optimize healthcare delivery. We present an overview of smart healthcare detection system and their key components. Importance of concepts like data integration, data analysis and decision support are being highlighted. With the use of real time patient data, we can enable healthcare providers to make informed decisions. We will be discussing the challenges and opportunities associated with implementing smart healthcare detection system including data privacy, interoperability and scalability.
KEYWORDS
Publication Date
4/4/2023
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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