Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52337, first published .
An Intelligent Customer-Driven Digital Solution to Improve Perioperative Health Outcomes Among Children Undergoing Circumcision and Their Parents: Development and Evaluation

An Intelligent Customer-Driven Digital Solution to Improve Perioperative Health Outcomes Among Children Undergoing Circumcision and Their Parents: Development and Evaluation

An Intelligent Customer-Driven Digital Solution to Improve Perioperative Health Outcomes Among Children Undergoing Circumcision and Their Parents: Development and Evaluation

Journals

  1. Obeng F, Boakye S, Kpankyaano B, Seshie D, Owusu Boateng J, Zikpi E, Okai E, Appiateng W, Amenyo O, Dzomeku J. The Development, Internal and External Validation of a Circumcision Complications Risk Calculator for an African Population: Prevention of Circumcision Complications via Pre-circumcision Complication Risk Profiling in Ghana. Cureus 2025 View

Conference Proceedings

  1. Alexandra A, Gabriel G, Elio N. 2025 3rd Cognitive Models and Artificial Intelligence Conference (AICCONF). Mobile Application for Managing Anxiety using Machine Learning Model View