The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Background Cardiovascular risk is underassessed in women. Many women undergo screening mammography in midlife when the risk ...

Machine learning models can help predict which patients receiving systemic therapy for non-small lung cancer are most likely ...

A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported ...

New machine learning models developed by University of South Australia (UniSA) researchers could help clinicians identify when patients can successfully stop long-term antidepressant use.

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will ...

A recent study by Yale researchers demonstrated the potential of a machine learning approach to predict symptoms of post-traumatic stress disorder, or PTSD, for recent trauma survivors. Researchers ...

Machine learning models, particularly LightGBM, effectively predict hyperlipidemia in PLWH on HAART for six months, with high accuracy and area under curve values. The study's limitations include ...

A new machine learning tool can reduce errors in national flood prediction programming, resulting in more accurate ...