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Full-Text Articles in Health Services Research
Effectiveness Of Machine Learning Classifiers For Cataract Screening, Ronald Cheung
Effectiveness Of Machine Learning Classifiers For Cataract Screening, Ronald Cheung
Electronic Thesis and Dissertation Repository
Cataract is the leading cause of blindness and vision loss globally. The implementation of artificial intelligence (AI) in the healthcare industry has been on the rise in the past few decades and machine learning (ML) classifiers have shown to be able to diagnose patients with cataracts. A systematic review and meta-analysis were conducted to assess the diagnostic accuracy of these ML classifiers for cataracts currently published in the literature. Retrieved from nine articles, the pooled sensitivity was 94.8% and the specificity was 96.0% for adult cataracts. Additionally, an economic analysis was conducted to explore the cost-effectiveness of implementing ML to …
Cost-Effectiveness Analysis Of Pharmacogenomics (Pgx) Based Warfarin, Apixaban And Rivaroxaban Compared To Standard Warfarin For Atrial Fibrillation Patients In Canada, Aneeka Hafeez
Electronic Thesis and Dissertation Repository
This study assessed cost-effectiveness of pharmacogenomics (PGx)-based warfarin, apixaban and rivaroxaban compared to standard warfarin therapy for atrial fibrillation (AF) patients in Canada. A decision-analytic Markov model was developed to compare lifetime costs and quality-adjusted life years (QALYs) from the public healthcare payer perspective. The parameters applied in the model were derived from published literature and some costs from the IC/ES databases. The results were summarized in terms of the incremental cost-effectiveness ratio (ICER). Compared to standard warfarin, PGx-based warfarin care had an ICER of 17,727/QALY and apixaban had an ICER of $64,853/QALY gained. Apixaban dominated rivaroxaban. The probabilistic sensitivity …