Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Abstract: Metaphor variation for English translations of Five Elements will impair the effect of Traditional Chinese Medicine (TCM) international communication. Few studies focus on contributing ...

Background: The incidence of stroke in young adults is on the rise in the United States. Drug abuse has been proposed as a known modifiable risk factor for stroke in this age group. The association ...

I am using a multi-level "within/between" or "hybrid" model specification to predict the likelihood of holding credit card debt (0 = no, 1 = yes) as a function of caregiving status (0 = not caregiver, ...

Abstract: We conducted a comprehensive review of previous studies and observed a robust and widespread impact of music training on empathy. However, the majority of these studies primarily relied on ...

Can you chip in? As an independent nonprofit, the Internet Archive is fighting for universal access to quality information. We build and maintain all our own systems, but we don’t charge for access, ...

Coronary atherosclerotic plaque volume reduction from a baseline 36% to 55% has the potential to be a surrogate marker for major atherosclerotic events, but given heterogeneity in this meta-regression ...

High-throughput sequencing of 16S gene or metagenomes provides an unprecedented opportunity to discover microbes associated with traits such as clinical outcomes or environmental factors. However, the ...