I created a kicker score to summarize both the season’s actual and predicted values into a single number. Each field goal made is worth one, and attempts are negatively weighted based on distance and ...

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 ...

A recent study suggests that the news media sources cited across the English version of Wikipedia have a moderate but ...

A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

This study presents valuable findings from a spatiotemporal analysis of arbovirus case notification data from 2013 to 2020 in Brazil, reporting associations between covariates representing potential ...

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 ...

Amid unprecedented scientific progress in oncology, a growing body of evidence reveals a parallel and profound crisis in the human experience of cancer care. Despite overall survival outcomes ...