Other Medical Sciences Commons^™

Effectiveness Of Vacuotherapy And Dry Needling As Adjunct Treatment For Musculoskeletal Cases: A Cohort In A Pt Clinic., Adnan N. Balisi, Vince Paul Lobaton, Dane Debulgado, Jhonas Jegira, Mae Adrinne Tumonong, Christian James Brillas, Ritchie Belle Gelito, Mychelle Rae Marasigan

Philippine Journal of Physical Therapy

Introduction: Usage of vacuum therapy and dry needling in physical therapy management of musculoskeletal cases have gained increasing usage but the literature regarding their effects is limited. This study determines the effect size of the interventions, which are vacuotherapy and dry needling as adjunct treatments to exercises, performed in a local PT clinic to musculoskeletal cases in three different treatment sessions with a week gap in between.

Methods: The study is a retrospective cohort where sampling was purposive in gathering historical patient charts. The numerical pain rating scales and relevant range of motion (ROM) in the musculoskeletal cases …

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 …