Enhancing and Implementation of ML in Healthcare Sector

Authors

  • Dr. Mahesh Panjwani Assistant Professor, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India. Author
  • Sahil Lokhande UG Student, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India Author
  • Rhutwik Gaidhani UG Student, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India Author
  • Sanket Gulhane UG Student, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India Author
  • Sanket Bhute UG Student, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India Author
  • Prathmesh Mathankar UG Student, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India Author

DOI:

https://doi.org/10.47392/IRJAEM.2024.0195

Keywords:

Online Doctor Consultation, Machine Learning (ML), Health Prediction, E-Pharmacy, Appointment Scheduling

Abstract

This research paper explores the transformative impact of machine learning (ML) on the healthcare industry, particularly through the emergence of ML-driven health and medical platforms. With the ongoing shift from offline to online shopping, the future of healthcare is envisioned to heavily rely on specialized online doctor consultations and pharmacies. Leveraging ML technologies, these platforms offer personalized services such as real-time video consultations, appointment scheduling, prescription management, and health record maintenance, ultimately prioritizing safety and convenience. This paper elucidates the potential of ML in optimizing patient care, expediting processes, and enhancing decision-making in healthcare. Additionally, it delves into the global trend of online medicine purchasing, highlighting its advantages and examining its impact on the Indian healthcare market.

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Published

2024-05-18

How to Cite

Enhancing and Implementation of ML in Healthcare Sector. (2024). International Research Journal on Advanced Engineering and Management (IRJAEM), 2(05), 1423-1449. https://doi.org/10.47392/IRJAEM.2024.0195