Abstract Gradient Boosted Decision Trees (GBDT's) are a powerful tool for classification and
regression tasks in Big Data. Researchers should be familiar with the strengths and …

Osteoporosis and its clinical consequence, bone fracture, is a multifactorial disease that has
been the object of extensive research. Recent advances in machine learning (ML) have …

Improving the Intensive Care Unit (ICU) management network and building cost-effective
and well-managed healthcare systems are high priorities for healthcare units. Creating …

Purpose The field of artificial intelligence is ever growing and the applications of machine
learning in spine care are continuously advancing. Given the advent of the intelligence …

Background Since image-based fracture prediction models using deep learning are lacking,
we aimed to develop an X-ray-based fracture prediction model using deep learning with …

Background Osteoporosis is one of the diseases that requires early screening and detection
for its management. Common clinical tools and machine-learning (ML) models for screening …

Osteoporosis is a disease characterized by low bone mass and microarchitectural
deterioration leading to increased bone fragility and fracture risk. Typically, osteoporotic …

Targeted fracture prevention strategies among late‐life adults should balance fracture risk
versus competing mortality risk. Models have previously been constructed using Fine‐Gray …

Background Osteoporosis is a significant health problem in the skeletal system, associated
with bone tissue changes and its strength. Machine Learning (ML), on the other hand, has …

Hip fractures are fragility fractures frequently seen in persons over 80-years-old. Although
various factors, including decreased bone mineral density and a history of falls, are reported …