We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

In an era driven by complex data, scientists are increasingly encountering information that doesn't lie neatly on flat, ...

A new study led by Oris et al. from the Rothman Orthopaedic Institute brings good news for pessimists everywhere: preoperative myelomalacia may not actually spell doom for your anterior cervical ...

Why do progressive candidates in Boulder always seem to come from behind on election night only to surge ahead? A data model offers clues.

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...

The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...

Background Community resilience is a relevant concept in public health, but its empirical relationship with health outcomes ...

Objectives To examine the association between exposure to greenness and hospital admissions for mental disorders, and to ...

Objectives Disease activity assessment is important for Crohn’s disease (CD) management, since it involves the initial and subsequent therapeutic schedule. The purpose of this study is to identify a ...

Nevertheless the HIV programme is still successfully treating millions of people and South Africa is far better off than ...

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

Objectives The length and frequency of previous sickness absence (SA) spells have been shown to be associated with future SA. The aim was to examine if this pattern persisted during the COVID-19 ...