A machine learning model may help predict mortality for hospitalized patients with cirrhosis at the time of admission, ...

Longer treatment duration, not having diabetes, and using semaglutide are among the factors linked to better weight reduction over 12 months.

Let’s say there are 100 records in the training dataset. The observations are arranged in decreasing order of probability ...

Early intervention in psoriatic arthritis (PsA) is disease-modifying, and delays in diagnosis, even by 6 months, can reduce ...

Post-cerclage cervical length offers a better predictive value for spontaneous preterm birth than pre-cerclage cervical ...

Predicting who might die while in the hospital is one of the hardest challenges for doctors caring for people with serious liver disease.

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an RShiny-based machine learning workbench was a game-changer, leading to ...

Wealthier markets and hospital capacity were key drivers of robotic radical cystectomy adoption, independent of local ...

Rapid molecular testing with FilmArray Pneumonia Panel offers high diagnostic accuracy but shows limited value in predicting ...

Variation in PICU mortality by ethnicity and area-level deprivation highlights the importance of further investigation into ...

In a study published in Alzheimer's & Dementia, a team led by Dr. Sha Feng from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences—collaborating with Dr. Jed A. Barash ...

A new study finds four factors that may make it more likely for some people to experience successful weight loss from using ...