Frontiers

XGBoost-based machine learning model combining clinical and ultrasound data for personalized prediction of thyroid nodule malignancy

Purpose: Thyroid ultrasound is a primary tool for screening thyroid nodules (TNs), but existing risk stratification systems have limitations. Nowadays, machine learning (ML) offers advanced ...
IEEE

NN-XGBoost: Nearest-Neighbor eXtreme Gradient Boosting for Temporal Downscaling and Prediction

Abstract: Accurate forecasting of Downward Shortwave Radiation (DSWR) and other climate data is crucial for applications in renewable energy, agriculture, and environmental research. There are many ...

How AI is speeding up drug discovery faster than any scientist ever could

Artificial intelligence is revolutionizing drug discovery and antibody engineering, accelerating the creation of new ...
IEEE

Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study

Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...
Frontiers

Explainable machine learning for predicting postoperative length of stay after gastrectomy: a nationwide study using XGBoost and SHAP

Background: Gastric cancer remains a major cause of cancer-related morbidity and mortality. Despite advances in surgical and perioperative care, prolonged hospitalization continues to strain ...
Polygon

Valve's Steam Machine has one big advantage over the old Steam Box

After the first Steam Machine launched in 2015, Valve gained a reputation for releasing hardware and leaving it to die, alone and unsupported. It's an accurate representation. Valve launched the Steam ...