Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

Large language models can act as predictive models. Here's an example for misinformation detection—and an introduction to savings curves. Not all business problems are best addressed with generative ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a ...

Acute care use (ACU) is more costly and prolonged for oncology patients and often leads to treatment disruptions and worsened outcomes. Reducing ACU requires understanding risk factors and proactively ...

Can predictive analytics support labor cost forecasting by improving staffing and aligning resources with patient demand in health systems?