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  Published Paper Details:

  Paper Title

"SANJEEVINI"- THE MACHINE LEARNING BASED AYURVEDIC MEDICATION SYSTEM.

  Authors

  Ranjitha Bai A,  Greeshma V P,  Janaki Saptasagar,  Namratha R,  Siddesh M S

  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

  Page Number(s) - j48-j58

  Pubished in - Volume 12 | Issue 5 | May 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  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
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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