A robot process automation based mobile application for early prediction of chronic kidney disease using machine learning

Chronic kidney disease (CKD) is characterized by persistent abnormalities in urinary biomarkers or reduced renal function, posing risks not only of progression to end-stage kidney disease but also of accelerated cardiovascular complications and mortality. The use of computer-aided automated diagnost...

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Vydáno v:	Discover applied sciences Ročník 7; číslo 6; s. 528 - 34
Hlavní autoři:	Bijoy, Md. Hasan Imam, Mia, Md. Jueal, Rahman, Md. Mahbubur, Arefin, Mohammad Shamsul, Dhar, Pranab Kumar, Shimamura, Tetsuya
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 23.05.2025 Springer Nature B.V Springer
Témata:	Abnormalities Accuracy Algorithms Applications programs Applied and Technical Physics Automation Biomarkers Cardiovascular diseases Chemistry/Food Science Chronic kidney disease Classification Computing time Datasets Decision trees Deep learning Earth Sciences End-stage renal disease Engineering Ensemble learning Environment Feature selection Internet of medical things IoMT Kidney diseases Kidneys Learning algorithms Machine learning Materials Science MKR stacking MKR Voting Mobile communications networks Mobile computing Multilayer perceptrons Neural networks Predictions R&D Real time Renal function Research & development Robot learning RPA South Asia RPA Chronic kidney disease MKR Voting MKR stacking Machine learning IoMT
ISSN:	3004-9261, 2523-3963, 3004-9261, 2523-3971
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