Evaluation of machine learning methodology for the prediction of healthcare resource utilization and healthcare costs in patients with critical limb ischemia —is preventive and personalized approach on the horizon?
ConclusionsREFS ™ identified baseline predictors of subsequent healthcare resource utilization and costs in CLI patients. Machine learning and model-based, data-driven medicine may complement physicians’ evidence-based medical services. These findings also support the PPPM framework that a paradigm shift from p ost-diagnosis disease care to early management of comorbidities and targeted prevention is warranted to deliver a cost-effective medical services and desirable healthcare economy.
Source: EPMA Journal - Category: International Medicine & Public Health Source Type: research
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