A retrospective study of 3,348 cerebral infarction patients shows machine learning can predict ICU readmission. Logistic ...
Objective Macrophage activation syndrome (MAS), a subtype of secondary haemophagocytic lymphohistiocytosis (HLH), is a rare ...
Female sex at birth, age of 65 years or older, and 32 specific medications were identified as factors for drug-related candidiasis.
Sepsis is one of the most life-threatening medical emergencies worldwide, claiming millions of lives each year. It occurs ...
A large 4-country study finds “cessation fatigue” predicts cigarette smoking relapse at any quit length, even as overall risk ...
Familial clustering was identified in primary hyperparathyroidism, as first-degree relatives were at higher risk than control patients.
Objectives This study aimed to identify the determinants of severe acute malnutrition (SAM) relapse among children aged 6–59 months. Design Case-control study. Setting Selected public health ...
A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...
Patients enrolled in Medicare Advantage (MA) plans were less likely to receive cancer surgery at high-quality hospitals ...
New study develops accurate predictive model identifying key factors for anaemia in elderly patients, aiding early detection ...
SUTD researchers test a privacy-preserving approach that blends federated learning with cloud coordination for smart grids in ...
The study, which evaluated associations between tattoo exposures and melanoma incidence, was designed as a population-based ...