Analysis of Multiple Machine Learning Models used toPredict Chronic Kidney Disease in Comparison

Volume 20 No 13 (2022)

Mona, Abhinav Dahiya , Kamaldeep Joshi , Rajkumar Yadav , and Rainu Nandal

DOI: 10.14704/nq.2022.20.13.NQ88432

Abstract

Massive potential is shown by machine learning for facilitating kidney disease decision-making. Nephrology is anticipated to see significant advancements as a result of developments in data processing and preservation. Artificial intelligence (AI) is utilized in healthcare and research for various tasks, such as disease diagnosis, managing chronic conditions, providing medical services, and finding new drugs. However, there are still many difficulties that ML and its uses in nephrology must overcome. In this regard, we work to boost the potential of ML in renal disease, which will assist patients in better comprehending the complexity of the condition and improve the ability to anticipate, diagnose, detect, and provide high-quality care for kidney disease.

Keywords

ML, Nephrology, Kidney diseases

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