A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

Researchers at Pennsylvania State University examined whether machine learning could predict the risk and contributing ...

Findings from a new study published in Annals of Family Medicine show that a machine learning model accurately predicts ...

For inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of inpatient mortality, according to a study published online July 23 in ...

The study found that integrating spatial analysis from CNNs with temporal learning from LSTMs enabled the hybrid model to ...

In the global trend of vigorously developing hydrogen energy, proton-conducting solid oxide electrolysis cells (P-SOECs) have ...

For the machine-learning analysis, they compared standard multivariable logistic regression, LASSO logistic regression, Random Forest and Extreme Gradient Boosting.

The accurate estimation of bearing stratum depth, the subsurface soil or rock layer depth that can support a foundation, is ...

Large language models (LLMs), advanced artificial intelligence (AI) models trained to analyze and generate texts in different ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, offering a more reliable and efficient alternative to traditional estimation ...

A building is only as strong as its foundation" is a common adage to signify the importance of having a stable and solid base to build upon. The type ...