Biomedical Engineering for SMEs in Sub-Saharan Africa: Data Quality And Bias | A time-series forecasting

Report 4.6

Biomedical Engineering for SMEs in Sub-Saharan Africa: Data Quality And Bias | A time-series forecasting

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MLA

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~ 41–58 mins

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Telemedicine Epidemiology AIOps

Abstract

This report investigates “Biomedical Engineering for SMEs in Sub-Saharan Africa: Data Quality And Bias | A time-series forecasting” using a social network analysis. Through a economic lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

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Biomedical Engineering for SMEs in Sub-Saharan Africa: Data Quality And Bias | A time-series forecasting

ABSTRACT

Biomedical Engineering for SMEs in Sub-Saharan Africa: Data Quality And Bias | A time-series forecasting is unpacked across themes: security, benefits, governance, and change enablement. Limitations and future research paths are noted.

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