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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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Published Paper Details:
"SANJEEVINI"- THE MACHINE LEARNING BASED AYURVEDIC MEDICATION SYSTEM.
Authors
Ranjitha Bai A,Greeshma V P,Janaki Saptasagar,Namratha R,Siddesh M S
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Keywords
Sanjeevini System, Machine Learning, Drug Management, Patient Safety, Healthcare Integration Predictive Modelling, Natural Language Processing, Pattern Recognition, Drug Adherence, Traditional Ayurveda.
Abstract
Sanjeevini System represents a pioneering approach to drug operation, exercising machine literacy to streamline processes and ameliorate patient issues. By integrating advanced algorithms similar as natural language processing, pattern recognition, and prophetic modeling, Vaidyah assists healthcare professionals, cases, and watch givers in making informed opinions regarding drug operation. This innovative system aims to enhance patient safety, drug adherence, and healthcare provider effectiveness. Sanjeevini application of machine literacy ways enables it to effectively manage drug- related tasks, including decision-timber, dataset
analysis, and vaticination systems. By using these capabilities, Sanjeevini demonstrates its implicit to revise drug operation in healthcare settings. One of the crucial features of Sanjeevini is its flawless integration into
being healthcare systems, furnishing a stoner-friendly interface for healthcare professionals to pierce patient
biographies and applicable medical information. This integration ensures that can fluently acclimatize to
different healthcare surroundings, easing its wide relinquishment. also, Sanjeevini's capability to incorporate
traditional Ayurveda drugs underscores its comprehensive approach to drug operation. By encompassing
both conventional and indispensable curatives, Sanjeevini aims to feed to a different range of case
requirements, further enhancing its effectiveness and applicability in clinical practice. In summary, Sanjeevini
represents a scalable and adaptable result that has the implicit to transfigure healthcare delivery worldwide.
By employing the power of machine literacy, Sanjeevini enhances patient safety, improves drug adherence,
and empowers healthcare professionals to deliver high-quality care. As the field of machine literacy
continues to evolve, Vaidyah paves the way for the future of drug systems, offering a promising path towards more effective and individualized healthcare results.
IJCRT's Publication Details
Unique Identification Number - IJCRT2405994
Paper ID - 261291
Author type - Indian Author
Page Number(s) - j48-j58
Pubished in - Volume 12 | Issue 5 | May 2024
DOI (Digital Object Identifier) -
No Of Downloads - 12
Author Country - India, 570028, mysuru karnataka, mysuru karnataka, 570028, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
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Ranjitha Bai A,Greeshma V P,Janaki Saptasagar,Namratha R,Siddesh M S, ""SANJEEVINI"- THE MACHINE LEARNING BASED AYURVEDIC MEDICATION SYSTEM.", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.j48-j58, May 2024, Available at :http://www.ijcrt.org/papers/IJCRT2405994.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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