Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.

Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support. Researchers ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support.

"Our pediatric pneumonia predictive models show good-to-excellent accuracy," said Dr. Florin. "They appear to perform better than clinician judgment alone in predicting illness severity ...

Most American police departments lack clear policies on algorithmic decision-making and provide little to no disclosure about how the predictive models they use are developed, trained or monitored ...

These symptoms are typically evaluated in patients with respiratory illness, which should make it easier for doctors to implement the predictive models in their hospitals, researchers said.

OpenAI, the maker of ChatGPT, released an open-source benchmark designed to measure the performance and safety of large language models in healthcare. The large data set, called HealthBench ...