An AI model was developed to assist nurses:

– Logistic regression is used to ensure the explainability of the algorithm

– Statistical techniques such as upsampling of hospitalization data is used to tackle the unequal distribution of data

– Established medical knowledge is embedded into the AI model via feature engineering e.g. converting raw numerical data into meaningful medical categorical information

– Medical knowledge shared by RenalTeam are turned into useful features in the AI model e.g. creating moving averages from medical readings to capture trends in patients’ medical parameters