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Specialty: Health Management
Condition: Atrial Fibrillation
Education: Learning
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Total 1 results found since Jan 2013.
Cost-effectiveness of targeted screening for the identification of patients with atrial fibrillation: Evaluation of a machine learning risk prediction algorithm.
Conclusions: Targeted screening using a ML risk prediction algorithm has the potential to enhance the clinical and cost-effectiveness of AF screening, improving health outcomes through efficient use of limited healthcare resources.
PMID: 31855091 [PubMed - as supplied by publisher]
Source: Journal of Medical Economics - December 20, 2019 Category: Health Management Tags: J Med Econ Source Type: research
