Acute Kidney Injury Risk Prediction using Electronic Health Records

  • Research theme/s:

    Healthcare

  • Principal investigator (PI):

    Dr. Mohammad Yaqub

  • Researcher/s:

    Nil

  • Funding:

    MBZUAI

  • Department:

    Machine learning

  • Co-PI:

    Nil

  • Student/s

    Svetlana Maslenkova

  • Collaborators / partners:

    Nil

The early prediction of Acute Kidney Injury (AKI) could be a considerable support for clinicians, since about 11% of deaths in hospitals could be prevented by promptly recognizing and treating patients at risk. To achieve this, we develop a deep learning NLP-based solution for early prediction of patients at risk of AKI using Electronic Health Records (EHR).