Objective Women of reproductive age (WRA) in low-income and middle-income countries (LMICs) bear a disproportionate burden of ...

We will use a dataset on high school students’ choice of academic program (general, academic, vocational) to illustrate the methods. Binary logistic regression ...

Delirium tremens (DT) is a severe complication of alcohol withdrawal. This study aimed to develop and validate a prediction model for DT risk in hospitalized patients with alcohol dependence, using ...

In pet genetics, cancer research, and beyond, Charlie Lieu, MBA ’05, SM ’05, has spent her career harnessing massive data sets to make the world better for everyone. A photogenic green-eyed Russian ...

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...

This project uses concepts from the TV show The Good Place to explore binary and multinomial logistic regression. The dataset contains behavioral features from 1,000 individuals—such as how often they ...

Big data can help make Americans healthier, and the Trump Administration has stated—in its recently released Make America Healthy Again report and elsewhere—that building a national big-data platform ...

As businesses continue to harness Big Data to drive innovation, customer engagement and operational efficiency, they increasingly find themselves walking a tightrope between data utility and user ...

Abstract: Data analytics can help drive decision-making and improve patient outcomes in healthcare. But of course, healthcare data is complex, and the process to access & analyze it can be slow. Here, ...