Objective Macrophage activation syndrome (MAS), a subtype of secondary haemophagocytic lymphohistiocytosis (HLH), is a rare ...

Bloomberg analysis indicates that firms with higher physical risk exposure face premium in their Weighted Average Cost of ...

Bloomberg's study Behind the Benchmark is examining U.S. active fixed income fund performance to assess fund returns versus ...

Objectives: This study aimed to evaluate the effectiveness of value-based care (VBC) interventions in slowing the progression of chronic kidney disease (CKD), as measured by changes in estimated ...

Introduction The suicide risk among discharged psychiatric patients is substantially higher than that among patients with physical diseases and the general population. In China, few cohort studies ...

Learn what residual standard deviation is, how to calculate it in regression analysis, and why it's crucial for measuring predictability and goodness-of-fit in data modeling.

Introduction SLE is a chronic autoimmune disease characterised by multisystem involvement and fluctuating clinical course, ...

Background There are limited studies regarding risk factors for sports-related injuries in adolescent athletes.Objectives The ...

pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into DataFrames and offers lots of operations you can perform on this data. It was ...

Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...

Background: There is no conclusion on the effect of vitamins E and C on plasma biomarkers of oxidative stress and antioxidant status. We conducted this meta-analysis to gain a clearer view of this ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...