Robotics & Machine Learning Daily News2024,Issue(Oct.3) :155-156.

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)

Robotics & Machine Learning Daily News2024,Issue(Oct.3) :155-156.

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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Abstract

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.

Key words

Bogota/Colombia/South America/Busines s/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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