A low-code approach to Machine Learning with DHIS2 Tracker and Power BI

This abstract has open access
Abstract summary
In this presentation we will describe a low-code approach to implementing machine learning with DHIS2 tracker data and the results of a pilot study.
ID del abstract:
DAC2023158
Which of these topics is your abstract on?
Big data and DHIS2: AI/Machine Learning, and advanced analytics
Kayla Stankevitz
Technical Advisor - Health Informatics
,
FHI 360
Samuel Anthonio
Technical Advisor Health Informatics
,
FHI 360
Mr. Jeremiah Lehloka
Senior Monitoring and Evaluation Officer
,
FHI360 Lesotho
DORICA BOYEE
Technical Advisor, Strategic Information
,
FHI360
Mr. Kananelo Kabeli
MER Officer
,
FHI 360
50 visits
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