3 x ML in Public Health and Care
Health, pharma, and care expose Machine Learning to yet another stress test in practice, which adds another vital quality attribute to architects’ QA-list (along with explainability, security, safety, accuracy, etc.) – privacy-friendly ML. Three current examples from the health realm 1. Most public authorities worldwide are using outdated analytics tools in forecasting and warning. Canadian […]