Selected article for: "AIMDP model and feature selection"

Author: Sally M. ELGhamrawy; Abou Ellah Hassanien
Title: Diagnosis and Prediction Model for COVID19 Patients Response to Treatment based on Convolutional Neural Networks and Whale Optimization Algorithm Using CT Images
  • Document date: 2020_4_21
  • ID: jir00627_80
    Snippet: The feature selection phase is the most critical phase in AIMDP model. WOA algorithm is implemented in this phase to reduce the number of non-relevant features from being processed by AIMDP, which leads to increase the accuracy of the model. FSWOA effect is evaluated in this experiment, as shown in figure 12 . The overall precision, recall and accuracy of AIMDP model is tested with and without implementing FSWOA module......
    Document: The feature selection phase is the most critical phase in AIMDP model. WOA algorithm is implemented in this phase to reduce the number of non-relevant features from being processed by AIMDP, which leads to increase the accuracy of the model. FSWOA effect is evaluated in this experiment, as shown in figure 12 . The overall precision, recall and accuracy of AIMDP model is tested with and without implementing FSWOA module.

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