Posted: Mar 05, 2022
This comprehensive study evaluates the efficacy of nurse-led health promotion programs in mitigating cardiovascular risk factors through a novel computational framework that integrates machine learning with longitudinal health data analysis. Unlike traditional clinical trials, our approach employs a hybrid methodology combining propensity score matching with recurrent neural networks to account for temporal patterns in patient outcomes. We analyzed data from 2,847 participants across 12 healthcare facilities over a 36-month period, examining the impact of structured nurse-led interventions on key cardiovascular indicators including blood pressure, cholesterol levels, body mass index, and smoking cessation rates. Our computational model revealed that nurse-led programs achieved a 23.7
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