The goal of this study was to document the development and validation of the web application, CHWsupervisor, while reporting its predictive accuracy. CHWsupervisor was developed as an open access, machine learning web application to predictively code instant messages exchanged between CHWs based on supervisory interaction codes. It was created using instant messages exchanged … [Read more...] about Analyzing 3429 digital supervisory interactions between Community Health Workers in Uganda and Kenya: the development, testing and validation of an open access predictive machine learning web app
CHW Central
A global resource for and about Community Health Workers