BIOENGINEER

Machine Learning Model Predicts Residual Strength of Aged Silk Heritage Without Damage

Researchers trained an XGBoost machine learning model to estimate the residual tensile strength of artificially aged silk ...
GitHub

Used Car Price Prediction Using Machine Learning Regression

Used car price prediction using Machine Learning regression algorithms and Random Forest. - KunalGupta9321/Used-Car-Price-Prediction ...
GitHub

Clinical Trial Patient Treatment Discontinuation Prediction

I developed this machine-learning project to study off-treatment status in an AIDS clinical-trial dataset using available demographic and clinical variables. I compared Logistic Regression, Random ...
BMJ Open

Machine learning-based prediction models for recurrent stroke after an index stroke: a scoping review protocol

Introduction Recurrent stroke remains a major threat after an index stroke, but individual risk is difficult to estimate because recurrence reflects interacting clinical, imaging, treatment, ...
The American Journal of Managed Care

Machine Learning Has High Accuracy, Little Prospective Validation in MPNs

AI in myeloproliferative neoplasms can grade marrow fibrosis and predict survival, but authors say prospective, ...
The American Journal of Managed Care

Machine Learning Models Flag Nonobese MASLD Using Routine Blood Tests

A gradient boosting model identified MASLD in lean adults with an AUC of 0.779, using 8 routine clinical measurements.
BIOENGINEER

Machine learning maps biochar’s strength effects in cement, with limits

A new study compiled published data on biochar-modified cementitious composites and used machine learning to explore ...