HIGHLIGHTS
- who: Wenzhu Song from the Peking University People`s Hospital, China have published the paper: Machine learning-based warning model for chronic kidney disease in individuals over 40 years old in underprivileged areas, Shanxi Province, in the Journal: (JOURNAL) of 09/01/2023
- what: This study shows that XGBoost represents the best classifier because the algorithm is a serial integrated learning algorithm based on Gradient Boosting Decision Tree that builds boosting trees in parallel by dependency generation . The authors proposed a warning model using the available and accessible demographical, blood biochemical and lifestyle data in . . .
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