Forecasting medical state transition using machine learning methods

HIGHLIGHTS

• who: Xiaokai Nie from the SchoolSoutheast University University, Nanjing, People`s Republic of China have published the article: Forecasting medical state transition using machine learning methods, in the Journal: Scientific Reports Scientific Reports
• what: The model ANOVA is applied to test the significance among the performance metrics AUC, F1, Sensitivity and the baseline variables.
• how: The highlight of this study is that instead of the original state the transformed state representing the way in which the states are transformed from the previous states is used as the response variable.

SUMMARY

 



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