Browsing by Author "Seklouli, Aicha Sekhari"

Now showing items 1-2 of 2

    • An adaptive Laplacian weight random forest imputation for imbalance and mixed-type data 

      Ren, Lijuan; Seklouli, Aicha Sekhari; Zhang, Haiqing; Wang, Tao; Bouras, Abdelaziz ( Elsevier , 2023 , Article)
      As the application of information technology in the medical field is resulting in a large amount of medical data. As early withdrawal and refusal of participants, there are a lot of missing values in medical data. Although ...

    • Hypertension Prediction Using Optimal Random Forest and Real Medical Data 

      Ren, Lijuan; Seklouli, Aicha Sekhari; Wang, Tao; Zhang, Haiqing; Bouras, Abdelaziz ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)
      Long-lasting and difficult-to-treat, hypertension frequently leads to serious and life-threatening diseases. As a result, early risk assessment and prevention of hypertension are crucial. The majority of research currently ...