Introduction The disparities and risk trajectories experienced by people who use drugs (PWUD) highlight the critical need for equity-oriented strategies. Pharmacy staff (pharmacists, pharmacy ...

PURPOSECancer incidence is rising worldwide and estimated to double by 2040. A systematic method of allocating resources and prioritizing cancer control efforts is needed. We aimed to develop and test ...

A team led by Frank Hutter, Professor of Machine Learning at the University of Freiburg, has developed a new method that facilitates and improves predictions of tabular data, especially for small ...

Its patented Large Graphical Models (LGMs) are specifically designed for multi-variate, tabular and time series forecasting.

Advances with graphical interfaces and AI is expected by Devavrat Shah, Co-CEO and Founder. After toying with large language models, advances in graphical models will inevitably follow.

Hubbert’s graphical-heuristic method (1956) Cavallo’s article begins, “It is well known that M. K. Hubbert (in 1956) successfully predicted the timing (1970) of peak US oil production.

The proportional hazards assumption was examined by the Kolmogorov-type supremum test and graphical method using weighted residuals. In any analysis where repeated testing is performed across each ...

Method: We report the results of two studies performed in two countries with 69 and 83 participants respectively, in which we assessed the effectiveness of tabular and graphical representations ...