Machine learning (ML) algorithms have proven highly accurate for identifying Randomized Controlled Trials (RCTs) but are not used much in practice, in part because the best way to make use of the technology in a typical workflow is unclear. In this work, we evaluate ML models for RCT classification (support vector machines, convolutional neural…

Background: Obesity has been identified as a global epidemic that is associated with numerous comorbidities such as type 2 diabetes, hypertension, cancer, cardiovascular disease. We have investigated the effects of Watsu® therapy and Immersion on HRV parameters of obese male subjects. Methods and Results: Volunteer 34 obese subjects with BMI above…

Individual participant data (IPD) meta-analysis is an increasingly used approach for synthesizing and investigating treatment effect estimates. Over the past few years, numerous methods for conducting an IPD meta-analysis (IPD-MA) have been proposed, often making different assumptions and modeling choices while addressing a similar research…