Background Multimorbidity, defined as the coexistence of multiple chronic conditions, poses
significant challenges to health care systems on a global scale. It is associated with …

During sleep, some people experience breathing difficulties, leading to a condition known
as sleep apnoea, which can result in suffocation. This study focuses on detecting sleep …

A prediction model to assess the risk of hospital readmission can be valuable to identify
patients who may benefit from extra care. Developing hospital-specific readmission risk …

Background The Hospital Readmission Reduction Programme (HRRP) was created to
decrease the number of hospital readmissions for acute myocardial infarction (AMI), chronic …

Objective Osteoporosis is a common skeletal disease that greatly increases the risk of
pathologic fractures and accounts for approximately 700,000 vertebral compression …

目的对慢性病共病患者预后预测模型进行范围综述, 了解该类模型的建模方法,
预测因子和预测效能, 为慢性病共病患者预后评估提供参考. 方法检索中国生物医学文献数据库 …

Purpose The purpose of this study is to determine if machine learning is an effective method
to identify features of patients who may need a longer postoperative stay following a patellar …

Numerous of high-impact applications involve predictive modeling of real-world data. This
spans from hospital readmission prediction for enhanced patient care up to event detection …

Numerous of high-impact applications involve predictive modeling of real-world data. This
spans from hospital readmission prediction for enhanced patient care up to event detection …

Accurate projections enhance patient outcomes. Classifiers may improve prediction
accuracy. Healthcare professionals must gather and analyse data to evaluate classifier …