Neonatal disorders often involve complex and multifactorial data, making it challenging to predict outcomes or diagnose conditions accurately. GBM can handle this complexity by capturing intricate patterns and interactions within the data. This makes them particularly useful for early diagnosis and prognosis in neonatal care.
