For inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of ...

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

Tourism and carbon emissions emerged as consistent, positive influences on solar energy consumption across most quantiles of ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Multiple space agencies plan to return astronauts to the moon by the end of this decade. Along with commercial and ...

Many investors worry that the crypto market is getting too hot to handle. Here are three robust reasons to calm down and ...

Explore why Tesla, Inc.'s stock valuation diverges from fundamentals, with quantitative insights revealing overvaluation.

Universitat de Barcelona researchers have developed a new method for characterizing solute-solvent interactions in electrokinetic systems.

Patients' perceptions and stigma of alopecia areata have a stronger effect on their mental health and quality of life than ...

The prevalence of long COVID-typical symptom clusters was relatively high among a cohort of adults 2 years after initial COVID-19 infection.

A cross‑sectional analysis linked incremental increases in dietary calcium to a greater likelihood of benign prostatic ...

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 ...