Predictive Analytics in Healthcare: Empowering Consultation with Machine Learning

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Published: Sep 21, 2023
DOI: https://doi.org/10.17762/ijritcc.v12i1.7912
Keywords:
Virtual health platform, Online Doctor visit, Telehealth services, Remote patient care, medical teleconsultation, Remote Medical examination

Main Article Content

Priyanka More
Assistant Professor, Department of Computer Engineering, VIIT, Pune, Maharashtra, India
Sachin Sakhare
Head of Department, Department of Computer Engineering, VIIT, Pune, Maharashtra, India
Manya Gupta
Research Scholar, Department of Computer Engineering, VIIT, Pune, Maharashtra, India
Kirti Singh
Research Scholar, Department of Computer Engineering, VIIT, Pune, Maharashtra, India
Om Gavhane
Research Scholar, Department of Computer Engineering, VIIT, Pune, Maharashtra, India
Rushikesh Mantri
Research Scholar, Department of Computer Engineering, VIIT, Pune, Maharashtra, India

Abstract

The Smart Healthcare and Online Consultation initiative intends to offer patients a quick and convenient online platform for seeking medical advice and services. Real-time video consultations, appointment scheduling, prescription administration, and health records management are just a few of the capabilities available on the platform. To deliver individualized and superior healthcare services, the initiative to use cutting-edge such as AI, ML, and data analytics. By giving patients an easy and affordable way to receive healthcare services remotely, the Smart Healthcare and Online Consultation initiative has the potential to completely transform the healthcare sector.

Article Details

How to Cite
More, P. ., Sakhare, S. ., Gupta, M. ., Singh, K. ., Gavhane, O. ., & Mantri, R. . (2023). Predictive Analytics in Healthcare: Empowering Consultation with Machine Learning. International Journal on Recent and Innovation Trends in Computing and Communication, 12(1), 69–76. https://doi.org/10.17762/ijritcc.v12i1.7912
Issue
Vol. 12 No. 1 (2024)
Section
Articles

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