HIGHLIGHTS
- who: Yewen Shi from the Baidu, China have published the research: Prediction model of obstructive sleep apnea-related hypertension: Machine learning-based development and interpretation study, in the Journal: (JOURNAL)
- what: The authors aimed to develop MLbased prediction models for OSA-related hypertension based on available clinical data from patients to identify high-risk patients. Interestingly, to further confirm how input factors contribute to the model, the authors calculated SHAP feature importance and feature effects.
- how: To determine the main predictors of OSA-related hypertension the authors identified the importance of ranking features . . .
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