Improve Medical Outcomes of Kidney Patients

Implementation Time:
9 months
Solution Provider: AI Singapore

How can RenalTeam systematically and accurately predict which hemodialysis patient will be hospitalised within the next week?

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

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Implementation Time

9 months

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