We developed a classifier to infer acute ischemic stroke severity from Medicare claims using the modified Rankin Scale at discharge. The classifier can be used to improve stroke outcomes research and ...

Abstract: Ordinal regression (OR, also called ordinal classification) is classification of ordinal data, in which the underlying target variable is categorical and considered to have a natural ordinal ...

Introduction: Cognitive reserve (CR) is a multidimensional construct based on lifelong engagement in cognitively stimulating domains, including education, occupation and leisure activities, that plays ...

ABSTRACT: Food insecurity is a global issue, and households in a society can experience food insecurity at different levels that could range from being mildly food insecure to severely food insecure.

A machine learning random forest regression system predicts a single numeric value. A random forest is an ensemble (collection) of simple decision tree regressors that have been trained on different ...

Background: Obstetric fistula is a significant cause of maternal morbidity in resource-limited settings, where women often suffer due to a lack of prompt access to skilled obstetric services. It is ...

Multicenter electronic health records can support quality improvement and comparative effectiveness research in stroke. However, limitations of electronic health record–based research include ...

It would be super cool to add support for "small sample corrected cluster sandwich standard errors" for a proportional odds (PO) regression model. The PO model works for ordinal categorical outcomes, ...

The advanced A.I. system would succeed GPT-4, which powers ChatGPT. The company has also created a new safety committee to address A.I.’s risks. By Cade Metz Reporting from San Francisco OpenAI said ...