Objectives This study describes the prototype testing and clinical validation of the Fit-Frailty App, a fully guided, interactive mobile health (mHealth) app to assess frailty and sarcopenia. This ...

The examples above are not necessarily done with realistic datasets or training procedures. The purpose is fast execution of the solution proposal and giving the user ideas for interesting usecases.

From electronic health records and blood tests to the stream of data from wearable devices, the amount of health information people generate is accelerating rapidly. Yet, many users struggle to ...

ABSTRACT: The objective of modelling from data is not that the model simply fits the training data well. Rather, the goodness of a model is characterized by its generalization capability, ...

The delayed release of the BLS report has led to fearmongering about the economy's ability to function. Leila Fadel, host of NPR's Up First, said on Friday that "businesses and policymakers are flying ...

Leo Feler, chief economist at Numerator, discusses how the Bureau of Labor Statistics collects and reports data, and what the firing of Commissioner Erika McEntarfer means for the agency's future. One ...

Economists say unbiased data is essential for policymaking, and for democracy. President Trump said he ousted the head of the Bureau of Labor Statistics because the numbers produced by her agency were ...

Abstract: This paper deals with discrete topology optimization and describes the modification of a single-objective algorithm into its multi-objective counterpart. The result is a significant increase ...

Wrapping up a multi-week series on Crafting Data Personas. What are they, why are they important, and how to get started. Continuing from last week, we’re diving right into examples of personas. I ...

Industrial organizations are racing to implement AI, yet many struggle to demonstrate concrete value from their investments. The missing element isn't better algorithms or more data; it's clarity ...