BIOENGINEER

Machine Learning Model Identifies Key Predictors for Acute-on-Chronic Liver Failure in Cirrhosis

A LightGBM-based diagnostic model was developed and validated in a multicenter retrospective study to improve the timely ...
BIOENGINEER

Hybrid machine learning improves lost-circulation prediction in small oil-field dataset

A hybrid CatBoost pipeline using synthetic sampling and optimized class weights achieved the strongest reported ...

How Do Machine Learning Models Learn? An Overview from Data Preparation to Training, Evaluation, and Prediction

When you start learning machine learning, you encounter many terms such as "features," "loss functions," "gradient descent," ...

GenoBridge streamlines plant trait prediction with a simplified genomic analysis pipeline

The rapid increase in the availability of genomic data has transformed plant breeding by enabling the prediction of complex ...
Neurology Advisor

Sex-Specific Machine Learning Models Predict 10-Year Dementia Risk

Machine learning models utilizing cardiovascular and lifestyle factors can accurately predict the 10-year risk of dementia in both men and women.
Medscape

Inactivity, Not Diet, Tops AI Obesity Predictors

A machine learning model combining social, political, and behavioral factors explained 78% of the variation in obesity rates across US counties. Physical inactivity was the single strongest predictor.

Label Design in Financial Machine Learning: Triple Barrier Method, Meta-Labeling, and Pitfalls of Prediction Accuracy

In quantitative trading research, a significant amount of time is spent on model architecture, feature engineering, and ...
Healio

Machine learning deems low-risk extubation failure as high in 18.7% of ventilated patients

Among ventilated adults who underwent extubation, 18.7% were high risk for extubation failure per machine learning even though they met traditional low-risk criteria, according to data presented at ...