Table 11 Feature selection comparison.

From: Towards advanced AI-based solutions for securing IoMT in smart health information systems

Method

Algorithm

Feature selection technique

No. selected features

Overfitting prevention

Interpretability

Features stability index*

BiGRU/PSO

PSO

RFE with SVM

43

Moderate

High

0.82

BiGRU/GA

GA

RFE with SVM

45

Moderate

High

0.80

BiGRU/GWO

GWO

RFE with SVM

42

Strong

High

0.85

BiGRU/WOA

WOA

RFE with SVM

44

Moderate

High

0.81

BiGRU/HHO

HHO

RFE with SVM

41

Strong

High

0.86

BiGRU/MPA

MPA

RFE with SVM

43

Moderate

High

0.83

BiGRU/RBWK (Proposed)

RBWK

RFE with SVM

40

Strong

High

0.91

Random Forest

N/A

Gini Importance

50

Moderate

Moderate

0.75

LSTM

Adam

Manual Thresholding

60

Weak

Low

0.62

CNN

Adam

Filter-Based

70

Weak

Low

0.58

Autoencoder

Adam

Reconstruction Error

30

Moderate

Low

0.68

CNN-LSTM Hybrid

Adam

Wrapper-Based Search

45

Moderate

Low

0.70