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

People living with HIV who have taken highly active antiretroviral therapy can have hyperlipidemia predicted in advance by ...

The large language model (LLM), dubbed Matrix3D, was developed by the company’s Machine Learning team, in collaboration with Nanjing University and the Hong Kong University of Science and ...

In his paper, Kienitz shows Gaussian mixture models ( GMM s) – a machine learning technique that has been used to fit complex ...

Even when instructed to allow shutdown, o3 sometimes tries to prevent it, research claims A research organization claims that OpenAI machine learning model o3 might prevent itself from being shut down ...

Current care in multiple sclerosis (MS) primarily relies on infrequently obtained data such as magnetic resonance imaging, clinical laboratory tests or clinical history, resulting in subtle changes ...

"This is why we are working with a probabilistic model. It can monitor or control the judgment of the deep learning model. We don't just rely on the direct pattern in the information ...

A machine learning model may be reliable for determining risk for postpartum depression, underscoring the need for greater ...

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 ...

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.