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Development and validation of ‘Patient Optimizer’ (POP) algorithms for predicting surgical risk with machine learning
4
Zitationen
8
Autoren
2024
Jahr
Abstract
The POP algorithms effectively predicted any post-operative complication, kidney failure and LOS in the sample population. A larger study is justified to improve the algorithm to better predict complications and length of hospital stay. A larger dataset may also improve the prediction of additional specific complications, readmission and mortality.
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