ascopubs.org

Predicting symptom complexity: Using autoregressive integrated moving average (ARIMA) models to create responsive clinic scheduling.

Impact of COVID19 pandemic on the hospitalization burden of cancer patients: Results of a quasi-experimental study. This is an ASCO Meeting Abstract from the 2021 ASCO Annual Meeting I. This abstract ...
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.
Nature

Implementation of the ARIMA model for prediction of economic variables: evidence from the health sector in Brazil

In recent decades, quantitative models for forecasting economic crises have garnered significant interest from researchers, policymakers, and public and private institutions. Identifying the most ...