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

• Asıl Yazarlar: James O'Donovan (Yazar), Ken Kahn (Yazar), MacKenzie MacRae (Yazar), Allan Saul Namanda (Yazar), Rebecca Hamala (Yazar), Ken Kabali (Yazar), Anne Geniets (Yazar), Alice Lakati (Yazar), Simon M. Mbae (Yazar), Niall Winters (Yazar)
• Materyal Türü: Kitap
• Baskı/Yayın Bilgisi: BMC, 2022-03-01T00:00:00Z.
• Konular: article
• Online Erişim: Connect to this object online.

Abstract Background Despite the growth in mobile technologies (mHealth) to support Community Health Worker (CHW) supervision, the nature of mHealth-facilitated supervision remains underexplored. One strategy to support supervision at scale could be artificial intelligence (AI) modalities, including...