TEM rolls out new AI tools across oncology, cardiology and mental health, accelerating its push to reshape MedTech innovation ...
Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...
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 ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Read more about From disease detection to biomass forecasting: AI improves aquaculture risk strategy on Devdiscourse ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
PsyPost on MSN
How unemployment changes the way people dream
A recent analysis of thousands of social media posts reveals that losing a job alters the narrative landscape of a person’s ...
Morning Overview on MSN
Huge study of 65,000 students ties 16 hrs of social media a week to loneliness
A peer-reviewed study of 64,988 U.S. college students has drawn a sharp line between heavy social media use and loneliness, defining “excessive” as 16 or more hours per week. The research, drawn from ...
Introduction Perinatal depression poses substantial risks to both mothers and their offspring. Given its chronic and ...
Introduction Atrial fibrillation (AF), with a prevalence of 1–2%, is the most common cardiac arrhythmia. AF is associated with a fivefold increased risk of cardioembolic events; approximately 20% of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results