A machine learning approach for predicting urine output after fluid administration

•We proposed a machine learning method to solve a clinical unmet need in predicting urine output in sepsis patients after fluid resuscitation.•This study identified the important clinical features for predicting patient's urine output after fluid resuscitation.•This study revealed that the machine models had different performance in patients with different baseline renal functions, therefore different threshold should be chosen to optimize clinical efficacy.