Abstract
According to the World Health Organisation (WHO), Globally 2.3 million children died in the first 28 days of life in 2022. Some neonatal conditions can rapidly deteriorate and be fatal even without diagnosis. This research aimed to develop an AI-based diagnostic model for predicting the prognosis of neonatal patients using routine blood tests. The study involved live-born patients, including premature and full-term infants. We used Matlab software to build the AI model. AI model for predicting neonatal patients' prognosis is determined by the high predictive accuracy (94%). The findings suggest that routine blood tests may provide more information that can help predict the prognosis of neonatal patients.
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