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Ready to Use Advanced Industry level Spring Boot Tempelate that contains all the advanced configuration setup like Swagger, API caching, Correlation, Token based Autharization and Authentication, Various Filters, AOT based logging, etc
Utilize unsupervised learning to analyze health data, identify patient clusters, and provide personalized health insights for improved monitoring and management.
Im Rahmen der Mental Health Surveillance (MHS) am Robert Koch-Institut (RKI) werden für eine Auswahl an Indikatoren der psychischen Gesundheit von Erwachsenen basierend auf Surveydaten Zeitreihen bestehend aus gleitenden Drei-Monats-Schätzern und Glättungskurven berechnet. Dadurch sollen Entwicklungen in der psychischen Gesundheit der erwachsene...
Bringing Fitness tracker Analysis and Classification to action - A Case Study for identifying useful features responsible for healthy life. Using RStudio to create a RMarkdown