A Comprehensive Framework For Iot, AI, And Machine Learning In Healthcare Analytics
The rapid integration of the Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML) in healthcare has enabled significant advancements in patient care, diagnostics, and operational efficiency. This paper presents a comprehensive framework for leveraging IoT, AI, and ML in healthcare analytics, focusing on the role these technologies play in collecting, processing, and analyzing patient data for better decision-making and predictive insights. The framework highlights applications in real-time monitoring, diagnosis, personalized treatment, and predictive analytics. A discussion of the current challenges, opportunities, and practical implications for healthcare providers is also included.
Authors
- Yusuf Perwej (ORCID: https://orcid.org/0000-0001-8377-5829)
- Meenakshi Rani
- Saroj Kumar
- V. Hariram
- V G Vani
- E AHMED (ORCID: https://orcid.org/0000-0003-1153-0077)
Publication Details
- Journal
- Nanotechnology Perceptions
- Published
- 2024-11-04
- DOI
- https://doi.org/10.62441/nano-ntp.vi.3072
- Citations
- 3
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 2.12