Continuous updating of individual headache forecasting models using Bayesian methods

To illustrate the benefits of deploying individual headache forecasting models using continuous updating with Bayesian methods.The ability to reliably forecast headache attacks within an individual over time would enhance the study of attacks and allow preemptive treatment. However, deploying a suitable forecasting model in a clinical setting will likely involve several unique challenges related to heterogeneity in the predictor weights, limited...