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Full-Text Articles in Other Medical Sciences
Attitudes Toward Persons With Disabilities And Disability Awareness Of University Students Providing Healthcare, Canan Ertemoğlu Öksüz, Özlem Kanber Uzun, Şahi Nur Kalkışım, Nihat Burak Zihni
Attitudes Toward Persons With Disabilities And Disability Awareness Of University Students Providing Healthcare, Canan Ertemoğlu Öksüz, Özlem Kanber Uzun, Şahi Nur Kalkışım, Nihat Burak Zihni
Makara Journal of Health Research
Background: This study aims to determine the attitudes and disability awareness of university students who provide health services to persons with disabilities.
Methods: This study included 291 volunteer students studying at the Vocational School of Health Services, Karadeniz Technical University (KTU), and conducting clinical practice at KTU Farabi Hospital. A sociodemographic form was used to determine the individual characteristics of the students included in this study, and the Attitudes toward Disabled Persons Scale (ATDP) was applied to determine their attitudes toward persons with disabilities.
Results: The students’ average ATDP score was 61.75 ± 12.34. Statistically significant differences …
Exploration Of Data Science Toolbox And Predictive Models To Detect And Prevent Medicare Fraud, Waste, And Abuse, Benjamin P. Goodwin, Adam Canton, Babatunde Olanipekun
Exploration Of Data Science Toolbox And Predictive Models To Detect And Prevent Medicare Fraud, Waste, And Abuse, Benjamin P. Goodwin, Adam Canton, Babatunde Olanipekun
SMU Data Science Review
The Federal Department of Health and Human Services spends approximately $830 Billion annually on Medicare of which an estimated $30 to $110 billion is some form of fraud, waste, or abuse (FWA). Despite the Federal Government’s ongoing auditing efforts, fraud, waste, and abuse is rampant and requires modern machine learning approaches to generalize and detect such patterns. New and novel machine learning algorithms offer hope to help detect fraud, waste, and abuse. The existence of publicly accessible datasets complied by The Centers for Medicare & Medicaid Services (CMS) contain vast quantities of structured data. This data, coupled with industry standardized …