Paper Key : IRJ************312
Author: Padakanti Pranathi,Desharaju Sai Anupam,Koppurapu Harshavardhan Reddy,Vennavelly Pradeep Reddy
Date Published: 01 Feb 2025
Abstract
One of the leading fields for the implementation of machine learning is healthcare. Most medical facilities andresearch institutes strive to be advanced so that they can make better decisions for patient diagnosis and care.Machine learning prediction models enable us to process large volumes of complex medical datasets and providebetter predictions for disease diagnosis. Identifying various critical and terminal diseases allows medicalprofessionals to start treatment at an earlier stage. Any form of disease prediction significantly increases treatmentprogress, potentially avoiding the terminal stage or even helping identify potential outbreaks. This paper focuses onworking with a genetic dataset obtained from a gene microarray to better understand how different classifiers canbe applied and to compare results.
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