graphical machine learning tools for public health data analysis and presentation (KNIME GmbH)
90
Structured Review
KNIME GmbH
graphical machine learning tools for public health data analysis and presentation
Graphical Machine Learning Tools For Public Health Data Analysis And Presentation, supplied by KNIME GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/graphical+machine+learning+tools/graphical+machine+learning+tools/pm37387101-19-86-87
Average 90 stars, based on 1 article reviews
Graphical Machine Learning Tools For Public Health Data Analysis And Presentation, supplied by KNIME GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/graphical+machine+learning+tools/graphical+machine+learning+tools/pm37387101-19-86-87
Average 90 stars, based on 1 article reviews
graphical machine learning tools for public health data analysis and presentation - by Bioz Stars,
2026-09
90/100 stars
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other:Article Title: Health Informatics Training Programs to Strengthen Health Workforce in Montenegro. Article Snippet: During the second training event, the theoretical objectives were: to increase awareness about the use of ICT tools for public health data analysis and presentation; to disseminate the knowledge regarding an introductory issue about the need for data and maps for public health; to spread the knowledge regarding the use of ICT tools for public health data analysis, the use of ICT tools for public health data analysis and presentation Power BI hands-on, the use of graphical machine learning tools for public health data analysis and Article Title: Health Informatics Training Programs to Strengthen Health Workforce in Montenegro. Article Snippet: Within the second training event – taking place as a live event on 3-4/05/2022 – the following training subjects were presented: (i) Introduction need for data and maps for public health; (ii) The use of ICT tools for public health data analysis and presentation (Power BI hands-on); (iii) The use of graphical machine learning tools for public health data analysis and |