A Systematic Review of Cancer Burden Forecasting Models: Evaluating Efficacy for Long-Term Predictions Using Annual Data
Simranjeet Singh Dahia,
Laalithya Konduru,
Savio G Barreto
Abstract:This paper presents a comprehensive systematic review of forecasting models applied to cancer burden prediction, focusing on their efficacy for long-term predictions using annual data. Cancer represents a significant challenge to global healthcare systems, necessitating accurate forecasting models for effective planning and resource allocation. We evaluated various methodologies, including JoinPoint Regression, Age-Period-Cohort models, time series analysis, exponential smoothing, machine learning, and more, h… Show more
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