However, there are a growing number of teams around the world trying to address the AI evaluation crisis.

In 2025, each issue of Population Health, Equity & Outcomes will feature a profile of a health system leader transforming ...

While AI startups are now using first-party evaluators or contracted second parties to test their models, opening the testing ...

Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.

To address these issues, this paper proposes a sparse fingerprint sample collection strategy and introduces a novel few-shot indoor localization model based on a simplified graph convolutional and ...

This proposed model using the Pima Indians diabetes dataset as an input to build the DM predictive model. The missing values of an input dataset are imputed using regression ... the OGNB based ...

However, in practice it is best to keep regression models as simple as possible as it is less likely to violate the assumptions. Let’s say in our study we also collected patients’ weight in kilograms ...

It is used in the capital asset pricing model ... regression analysis. Second, accounting earnings are subject to smoothing and accounting policy changes. Therefore, these may not be appropriate ...

When Meta, the parent company of Facebook, announced its latest open-source large language model (LLM) on July 23rd, it claimed that the most powerful version of Llama 3.1 had “state-of-the-art ...

In this article, we propose a linear regression (LR)-based autonomous intelligent optimization method. It first extracts typical features of a constrained multiobjective optimization problem by ...