Simulations and experiments meet: Machine learning predicts gold nanocluster structures

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...
The Lancet

Machine learning prediction of 1-year mortality in older patients with heart failure: a nationwide, multicenter, prospective cohort study

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
BMJ

Machine learning methods, applications and economic analysis to predict heart failure hospitalisation risk: a scoping review

Background Machine Learning (ML) has been transformative in healthcare, enabling more precise diagnostics, personalised treatment regimens and enhanced patient care. In cardiology, ML plays a crucial ...
IEEE

Development of CCIT Website with Career Pathway Generator Using Extreme Gradient Boosting Algorithm for Incoming College Students

Abstract: Choosing the right academic path remains a significant challenge for many incoming college students, often due to limited access to clear, relevant, and personalized guidance. To address ...
IEEE

Evaluation of Gradient Boosting Algorithms on Balanced Home Credit Default Risk

Abstract: Default risk divides customers into two groups-those who pay on time (non-defaulters) and those who don’t (defaulters). Recently, banks and data scientists, have employed different machine ...