首页|Data on Machine Learning Reported by Angela J. Pereira-Morales and Colleagues (D evelopment and validation of interpretable machine learning models to predict gl omerular filtration rate in chronic kidney disease Colombian patients)
Data on Machine Learning Reported by Angela J. Pereira-Morales and Colleagues (D evelopment and validation of interpretable machine learning models to predict gl omerular filtration rate in chronic kidney disease Colombian patients)
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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news originating from Bogota, Colombia, by N ewsRx correspondents, research stated, "ML predictive models have shown their ca pability to improve risk prediction and assist medical decision-making, neverthe less, there is a lack of accuracy systems to early identify future rapid CKD pro gressors in Colombia and even in South America. The purpose of this study was to develop a series of interpretable machine learning models that predict GFR at 6 -months, 9-months, and 12-months." Financial support for this research came from Science for Life.
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