HIGHLIGHTS
- who: Yutaka Igarashi from the University of Ferrara, Italy have published the research work: Machine learning for predicting successful extubation in patients receiving mechanical ventilation, in the Journal: (JOURNAL)
- what: The model was initially developed with 68 features, and finally, a prediction model was developed with 36 of the most important features. Some of the studies used data from multiple time points prior to extubation to increase the sample size for extubation failure, whereas some used patient data that were used as training data during cross validation as test data, which may have resulted in . . .
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