Predictive Modeling: Techniques, Uses, and Key Takeaways

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
gh.bmj

Tracking progress towards Sustainable Development Goal 3.2 in Kenya using time series models

Background Sustainable Development Goal (SDG) 3.2, which aims to reduce under-five mortality rate (UFMR) below 25 deaths per 1000 live births by 2030, is still a crucial target for improved child ...
BMJ

Projection of age-standardised mortality rates for 23 cancer types in India: a nationwide projection until 2030 using autoregressive integrated moving average (ARIMA) models

Objectives To project the future burden of cancer mortality in India by forecasting age-standardised mortality rates (ASMRs) for 23 major cancer types up to the year 2030, providing crucial evidence ...
Frontiers

Hybrid STL-SARIMA forecasting of reservoir inflows in climate-vulnerable basins: a case study in the Yalong River

1 The National Key Laboratory of Water Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing, China 2 Ningbo Water Resources Management Center, Ningbo, China Climate-induced hydrological ...
IEEE

Retraction Notice: Considering Autoregressive Integrated Moving Average Models for Hyper Spectral Image Recognition

Abstract: Autoregressive incorporated shifting common (ARIMA) models are powerful equipment for time collection evaluation and forecasting. As an extension of linear regression and autoregressive (AR) ...
GitHub

arun-techverse/Healthcare-Monitoring-ARIMA

This repository contains a Python-based project for real-time healthcare monitoring, focusing on forecasting patient heart rates using the ARIMA (AutoRegressive Integrated Moving Average) model. The ...
Seeking Alpha

U.S. Stocks Still Expected To Generate Relatively Moderate Returns For Decade Ahead Vs. Recent History

US stock market performance is on track to downshift over the next decade vs. the past 10 years. The S&P 500 is projected to earn an annualized 5%-plus in the decade ahead, based on the average of ...
Frontiers

Forecasting sea level rise using enhanced deep learning models

College of Engineering and IT, University of Dubai, Dubai, United Arab Emirates Climate change has significantly impacted vulnerable communities globally, with rising temperatures caused by greenhouse ...
ascopubs.org

Forecasting incidence and mortality rates of prostate cancer in older adults using autoregressive integrated moving average (ARIMA).

Prevalence of obesity/overweight and its relationship with incidence of pancreatic cancer in the US states using BRFSS and CDC WONDER database of 2021.
ascopubs.org

Forecasting incidence and mortality rates of bladder cancer in older adults using autoregressive integrated moving average (ARIMA).

Impact of trimodal therapy on survival outcomes in non-urothelial muscle-invasive bladder cancer: A nationwide analysis.
IEEE

Autoregressive Integrated Moving Average Model for Time Series Analysis

Abstract: The Autoregressive incorporated moving common (ARIMA) model is a widely used approach for time collection analysis. This method has been used throughout various fields, such as economics, ...