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AI DRIVEN DEVELOPMENT OF NON-INVASIVE CHOLESTEROL MONITORING SYSTEM
Authors
SATHYAPRIYA M,SASIMITHA A,NARESH KUMAR V R,ABIRAMEE R
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Keywords
Artificial Intelligence, Non-invasive sensor, cholesterol monitoring, Machine learning
Abstract
The conception and creation of a non-invasive, AI-driven cholesterol monitoring system are presented in this study. Because high cholesterol is a major risk factor for cardiovascular illnesses, it must be regularly monitored in order to effectively manage and prevent these conditions. Invasive blood tests are a common component of traditional cholesterol monitoring techniques, which can be painful and inconvenient for patients. We suggest a brand-new, non-intrusive monitoring system that makes use of cutting-edge artificial intelligence methods to overcome this difficulty. Through AI(artificial intelligence) networking, data gathered by the NICMS(Non-invasive cholesterol monitoring system) is effortlessly sent to a secure cloud-based platform. This technology uses sophisticated machine learning algorithms to evaluate the data and provide accurate and real-time cholesterol level readings. A user-friendly mobile app or online interface gives users access to their cholesterol data, giving them a tailored and educational summary of their health state. Through the platform, medical personnel may also remotely monitor the condition of their patients, enabling prompt interventions and customized treatment regimens. The NICMS has a number of strong benefits. By doing away with the necessity for intrusive and painful blood tests, it improves user compliance with cholesterol monitoring. When cholesterol levels fluctuate, continuous monitoring makes it possible to identify them early and help people take proactive measures to lead healthier lives. AI connection makes data transfer secure and accessible from any location in the globe. To sum up, the Non-Invasive Cholesterol Monitoring System, which employs AI technology and the BPW34 pin photodiode, has the potential to completely transform the way cholesterol is managed. This novel method combines machine learning, Internet of Things connection, and non-invasive sensors to provide data-driven and user-centered cholesterol monitoring. This approach may lessen the prevalence of cardiovascular illnesses, which might enhance the standard of treatment generally and encourage preventative medical interventions.
IJCRT's Publication Details
Unique Identification Number - IJCRT2404831
Paper ID - 256035
Author type - Indian Author
Page Number(s) - h282-h293
Pubished in - Volume 12 | Issue 4 | April 2024
DOI (Digital Object Identifier) - http://doi.one/10.1729/Journal.38997
No Of Downloads - 82
Author Country - India, 641062, CHINNIYAPALAYAM ,COIMBATORE, CHINNIYAPALAYAM ,COIMBATORE, 641062, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
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SATHYAPRIYA M,SASIMITHA A,NARESH KUMAR V R,ABIRAMEE R, "AI DRIVEN DEVELOPMENT OF NON-INVASIVE CHOLESTEROL MONITORING SYSTEM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 4, pp.h282-h293, April 2024, Available at :http://www.ijcrt.org/papers/IJCRT2404831.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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