This paper is published in Volume-10, Issue-4, 2024
Area
Digital Healthcare
Author
Akankshya Mohanty, Anandi Nagpal, Naisha Parida
Org/Univ
SNBP's International School, Pune, Maharashtra, India
Keywords
Digital Healthcare, Predictive Healthcare, Healthcare Diagnostics, Data Analytics, Artificial Intelligence, Machine Learning
Citations
IEEE
Akankshya Mohanty, Anandi Nagpal, Naisha Parida. Preventive Healthcare Diagnostics Leveraging Machine Learning, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Akankshya Mohanty, Anandi Nagpal, Naisha Parida (2024). Preventive Healthcare Diagnostics Leveraging Machine Learning. International Journal of Advance Research, Ideas and Innovations in Technology, 10(4) www.IJARIIT.com.
MLA
Akankshya Mohanty, Anandi Nagpal, Naisha Parida. "Preventive Healthcare Diagnostics Leveraging Machine Learning." International Journal of Advance Research, Ideas and Innovations in Technology 10.4 (2024). www.IJARIIT.com.
Akankshya Mohanty, Anandi Nagpal, Naisha Parida. Preventive Healthcare Diagnostics Leveraging Machine Learning, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Akankshya Mohanty, Anandi Nagpal, Naisha Parida (2024). Preventive Healthcare Diagnostics Leveraging Machine Learning. International Journal of Advance Research, Ideas and Innovations in Technology, 10(4) www.IJARIIT.com.
MLA
Akankshya Mohanty, Anandi Nagpal, Naisha Parida. "Preventive Healthcare Diagnostics Leveraging Machine Learning." International Journal of Advance Research, Ideas and Innovations in Technology 10.4 (2024). www.IJARIIT.com.
Abstract
The healthcare system in India is facing unprecedented challenges due to the rising population, inadequate healthcare infrastructure, higher doctor-to-patient ratio, and lack of healthcare awareness in our society. Technology is the only saviour to bring in the much-needed transformation required in healthcare space. One such idea is Predictive Healthcare Analytics which has the potential to revolutionize the healthcare industry by providing insights that improve patient outcomes, optimize usage of existing resources, and enhance overall efficiency. It leverages data, analysis algorithms, and machine learning techniques to forecast future health outcomes and trends. This approach enables doctors to anticipate potential issues and proactively address them, rather than responding reactively.