Publications by authors named "C Akwaowo"
Background: Generalized Joint Hypermobility (GJH) offers flexibility that could enhance motor activities. However, if it leads to injury and pain, it increases functional difficulties and activity limitations. The far-reaching consequences of activity limitations and restricted participation include poor physical fitness and diminished quality of life.
View Article and Find Full Text PDFArticle Synopsis
- Malaria and Typhoid fever are major health issues in tropical areas, worsened by unclear treatment protocols, drug resistance, and environmental conditions, making quick and correct diagnoses essential to reduce death rates.
- Traditional diagnostic methods struggle due to overlapping symptoms; however, using machine learning models and explainable AI (XAI) techniques can provide better insights into these diseases by clarifying how decisions are made.
- The study shows that the Random Forest model, along with tools like LIME and GPT, can enhance diagnostic transparency, but the overall effectiveness is limited by dataset quality and challenges related to real-time application and internet dependency.
This paper employs the Analytical Hierarchy Process (AHP) to enhance the accuracy of differential diagnosis for febrile diseases, particularly prevalent in tropical regions where misdiagnosis may have severe consequences. The migration of health workers from developing countries has resulted in frontline health workers (FHWs) using inadequate protocols for the diagnosis of complex health conditions. The study introduces an innovative AHP-based Medical Decision Support System (MDSS) incorporating disease risk factors derived from physicians' experiential knowledge to address this challenge.
View Article and Find Full Text PDFObjectives: This article delves into the challenges of medical data collection during the COVID-19 pandemic in developing countries, using Nigeria as a case study. It emphasizes how data collection impacts research quality, reliability, and validity.
Methods: Qualitative research utilizing purposive sampling was employed to explore experiences in designing a diagnostic tool for febrile diseases in Nigeria.
The report of the World Health Organization (WHO) about the poor accessibility of people living in low-to-middle-income countries to medical facilities and personnel has been a concern to both professionals and nonprofessionals in healthcare. This poor accessibility has led to high morbidity and mortality rates in tropical regions, especially when such a disease presents itself with confusable symptoms that are not easily differentiable by inexperienced doctors, such as those found in febrile diseases. This prompted the development of the fuzzy cognitive map (FCM) model to serve as a decision-support tool for medical health workers in the diagnosis of febrile diseases.
View Article and Find Full Text PDF