Additional file 2 of Analysing 3429 digital supervisory interactions between Community Health Workers in Uganda and Kenya: the development, testing and validation of an open access predictive machine learning web app

Domaine:

healthcare

Type de record:

software

Créateur:

JamKenMacAll

Hôte:

Additional file 2: Links to libraries underlying the CHWsupervisor web app.

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Tags

Artificial Intelligence and Image Processing Machine learning Artificial intelligence Supervision Community Health Worker Digital Health Training

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Additional file 4 of Analysing 3429 digital supervisory interactions between Community Health Workers in Uganda and Kenya: the development, testing and validation of an open access predictive machine learning web appAdditional file 3 of Analysing 3429 digital supervisory interactions between Community Health Workers in Uganda and Kenya: the development, testing and validation of an open access predictive machine learning web appAdditional file 1 of Analysing 3429 digital supervisory interactions between Community Health Workers in Uganda and Kenya: the development, testing and validation of an open access predictive machine learning web appAnalysing 3429 digital supervisory interactions between Community Health Workers in Uganda and Kenya: the development, testing and validation of an open access predictive machine learning web app

Additional file 4 of Analysing 3429 digital supervisory interactions between Community Health Workers in Uganda and Kenya: the development, testing and validation of an open access predictive machine learning web app

Additional file 4: Confusion matrices.

Additional file 3 of Analysing 3429 digital supervisory interactions between Community Health Workers in Uganda and Kenya: the development, testing and validation of an open access predictive machine learning web app

Additional file 3: Additional CHWsupervisor web app development details.

Additional file 1 of Analysing 3429 digital supervisory interactions between Community Health Workers in Uganda and Kenya: the development, testing and validation of an open access predictive machine learning web app

Additional file 1: Data cleaning process for test and validation data sets.

Analysing 3429 digital supervisory interactions between Community Health Workers in Uganda and Kenya: the development, testing and validation of an open access predictive machine learning web app

Abstract Background Despite the growth in mobile technologies (mHealth) to support Community Health