AHA/ASA Journals

Forecasting the Burden of Cardiovascular Disease and Stroke in Women in the United States Through 2050: A Scientific Statement From the American Heart Association

BACKGROUND: Forecasts for the future prevalence of cardiovascular disease and stroke are crucial to guide efforts to improve health outcomes across the life course for women. METHODS: Using historical ...
IEEE

FPSO-Time: A Fuzzy Time Series Forecasting Method Based on Fuzzy Particle Swarm Optimization and Reprogrammed Large Language Models

Abstract: Time series forecasting is widely used in finance, meteorology, and industrial systems. Although existing methods have made progress in modeling trends and periodicity, they still face ...
GitHub

S-FM/faim-mcp

Point forecasts (single value predictions) Quantile forecasts (confidence intervals) Sample forecasts (distribution samples) Custom quantile levels for risk assessment This server implements the Model ...
IEEE

A Study on Time Series Forecasting Using ARIMA, LSTM, and GRU Models

Abstract: ARIMA, LSTM, and GRU are examined in this study, while COVID-19 trends and financial time series are also examined. A traditional statistical model, such as ARIMA, has long been used to ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...