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Incorporation of a machine learning model in hepatitis C virus screening leads to a marked improvement in efficiency

1. A comparison of a traditional decision tree approach with a machine-learning (ML)-aided strategy suggests that machine-learning tools offer increased accuracy for hepatitis C virus screening 2. Prospective evaluation of the machine-learning model suggests a nearly 100-fold increase in efficiency as compared to traditional screening methods Evidence Rating Level: 1 (Excellent) Study Rundown: Clinical guidelines ....

World Health Organization , United States Preventive Services Task Force , Rating Level , Artificial Intelligence , Hepatitisc Virus , Liver Disease , Machine Learning , Risk Screening ,

Probiotic supplementation may improve outcomes in patients with type 2 diabetes

1. Patients with type 2 diabetes randomized to using probiotic supplements were found to have significantly reduced lipoprotein-associated phospholipase A2 levels at 12-weeks follow-up. 2. Probiotic supplementation was also associated with improved glycemic control at follow-up. Evidence Level Rating: 1 (Excellent) Type 2 diabetes affects many adults worldwide and is increasing in prevalence in many ....

Level Rating , Bacillus Coagulans , Cardiovascular Disease , Cardiovascular Risk , Chronic Disease ,