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 ...
IEEE

A Short-Term Photovoltaic Power Forecasting Method Based on Meteorological Data Using GRF-LSTM-XGBoost Model

Abstract: This paper proposes a short-term photovoltaic power forecasting method based on a Genetic Algorithm-Random Forest (GRF)-LSTM-XGBoost hybrid model, aimed at improving accuracy by addressing ...
IEEE

ChronoTab: Forecasting Multivariate Time Series with Tabular LLMs

Abstract: Forecasting future values in multivariate time series is a critical challenge in many application domains, such as agriculture, transportation, energy, etc. Recently, Large Language Models ...