Data types were progressively combined to create more complex prediction models. For details about selection of variables and training, validating ... microRNA expression; ML, machine learning; mRNA, ...

Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...

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

The researchers created four machine learning (ML ... conducted with the Advanced Circulation Model. The integration of these methods improves prediction accuracy and reduces uncertainty by ...

Interestingly, the study also identified a counterintuitive negative association between heavy alcohol consumption and ...

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

Machine learning (ML) and artificial intelligence (AI) have revolutionized battery diagnostics by sifting through volumes of ...

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto ...

As the world transitions to clean energy, wind power has emerged as a cornerstone of renewable electricity generation .

A new scoping review reveals how inconsistencies in labeling practices and high bias risk in delirium prediction studies ...

Chronic pain conditions, long-lasting medical conditions characterized by persistent pain in specific areas of the body, are ...

A research team from Skoltech, AIRI, Tomsk Polytechnic University, and Sber has proposed and tested an approach to predicting ...