RESPONSE AND SURVEILLANCE SYSTEM FOR DIARRHOEA BASED ON A PATIENT SYMPTOMS USING MACHINE LEARNING: A STUDY ON ESWATINI

Response and Surveillance System for Diarrhoea Based on a Patient Symptoms Using Machine Learning: A Study on Eswatini

Utilizing supervised machine learning algorithms to develop a surveillance and response system based on symptoms of diarrhoea, contingent on the Support Vector Machine (SVM) to predict the probable disease using labelled data.Diarrhoea is amongst the top ten diseases which kill.A prototype system is developed based on the SVM algorithm.The prototyp

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Including the public in pandemic planning: a deliberative approach

Abstract Background Against a background of pandemic threat posed by SARS and avian H5N1 influenza, this study used deliberative forums to elucidate informed community perspectives on aspects of pandemic planning.Methods Two deliberative forums were carried out with members of the South Australian community.The forums were supported by a activecare

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