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Showing results for Matthew J. fraud
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Novel Application of Near-infrared Spectroscopy and Chemometrics Approach for Detection of Lime Juice Adulteration.
Jahani R, Yazdanpanah H, van Ruth SM, Kobarfard F, Alewijn M, Mahboubi A, Faizi M, Shojaee AliAbadi MH, Salamzadeh J. Jahani R, et al. Iran J Pharm Res. 2020 Spring;19(2):34-44. doi: 10.22037/ijpr.2019.112328.13686. Iran J Pharm Res. 2020. PMID: 33224209 Free PMC article.
The generated model was able to classify juices with an accuracy of 88% and the Matthew's correlation coefficient value of 0.75 in the external validation set. In the k-NN model, the highest accuracy and Matthew's correlation coefficient in the test set (88% and 0.7 …
The generated model was able to classify juices with an accuracy of 88% and the Matthew's correlation coefficient value of 0.75 in th …
Excess Medical Care Spending: The Categories, Magnitude, and Opportunity Costs of Wasteful Spending in the United States.
Speer M, McCullough JM, Fielding JE, Faustino E, Teutsch SM. Speer M, et al. Am J Public Health. 2020 Dec;110(12):1743-1748. doi: 10.2105/AJPH.2020.305865. Epub 2020 Oct 15. Am J Public Health. 2020. PMID: 33058700 Free PMC article.
We synthesized and reclassified waste into 6 categories: clinical inefficiencies, missed prevention opportunities, overuse, administrative waste, excessive prices, and fraud and abuse.Aggregate estimates of waste varied from $600 billion to more than $1.9 trillion per year …
We synthesized and reclassified waste into 6 categories: clinical inefficiencies, missed prevention opportunities, overuse, administrative w …