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NGPS-004 - A supervised machine learning model for clinical decision support in asthma diagnosis
- At: Copenhagen (Denmark) (2025)
- Type: Poster
- Poster code: NGPS-004
- By: MUKUMBA, Takunda (Zimbabwe Centre For High Performance Computing, Zimbabwe)
- Co-author(s): Mr Takunda Mukumba, Founder (Zimbabwe Centre For High Performance Computing, Harare, Zimbabwe)
- Abstract:
INTRODUCTION:
Asthma, a chronic respiratory condition characterised by airway inflammation and narrowing, is a major global health issue, affecting millions worldwide. This disease is particularly prevalent in low- and middle-income countries (LMICs), where it contributes significantly to morbidity and mortality due to under-diagnosis and.. The access to the whole abstract and if available the presentation file is available to FIP members and to congress participants of that specific congress.
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Last update 4 September 2025