A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.
Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
Medicaid managed care organizations should prioritize children in low-opportunity neighborhoods to optimize health care utilization, improve minority health, and address health-related social needs.
Introduction The Netherlands implemented a supermarket tobacco sales ban on 1 July 2024. This study aimed to evaluate ...
TEM rolls out new AI tools across oncology, cardiology and mental health, accelerating its push to reshape MedTech innovation ...
This study investigated the outcomes of perioperative multidisciplinary nursing collaboration for patients who underwent laparoscopic radical prostatectomy.
Results in a population of 278 patients affirm statistically significant mortality reductionsBenefits observed across severity groups and in ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Protein S deficiency represents a rare but significant hereditary thrombophilia that poses substantial risks during pregnancy ...
Explore how proteomics in biomarker discovery accelerates diagnostic assay development and improves clinical validation.
Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...
A study of over 16,000 adults in England and Scotland finds a significant positive association between gambling frequency and the risk for gambling-related harm.
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