I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

Overview: Data analysis software makes sense of large amounts of information quickly.Tools like R, Python, and SPSS simplify ...

Introduction Timely detection, notification and response are critical for mitigating outbreak impact, yet evidence linking timeliness to public health outcomes is limited.Methods We hypothesised that ...

Objective To estimate the efficacy of exercise on depressive symptoms compared with non-active control groups and to determine the moderating effects of exercise on depression and the presence of ...

Objective Interstitial lung disease (ILD) represents the most common and severe organ manifestation observed in patients ...

Greater baseline disease pruritus and quality of life impairment are associated with higher rates of super response to dupilumab in patients with AD.

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...

Objectives Metabolic-associated fatty liver disease (MAFLD) is becoming increasingly prevalent worldwide, however, early ...

GIJC25 speaker Purity Mukami, who trained as a statistician, is one of the pioneering women reporters helping to build data ...