Explainable AI in Pediatric Dehydration Risk 🤖

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This research delves into the application of Explainable AI (XAI) to enhance the prediction of dehydration in paediatric diarrhoea cases, bridging the gap between current clinical practices defined by the WHO scale and innovative AI methodologies. By employing techniques like SHAP and LIME, the study aims to develop clinically meaningful AI models that not only match but potentially enhance the accuracy and clarity provided by the WHO standards. Challenges, such as classification limitations...