Findings

What do systematic reviews say?

3 questions · 4 findings · 1 reviews · Dental caries

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No studies found 0 · 0%GRADE not reported 4 · 100%Very low 0 · 0%Low 0 · 0%Moderate 0 · 0%High 0 · 0%

Adaptive dragonfly algorithm with neural-network classifier vs Support vector machine and Naive Bayes

Accuracy advantage in test case 3 · Dental images of human beings

The review reported a 6.30% accuracy advantage in Patil test case 3 (Ungraded).

1 finding from 1 review

Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. 2022 All outcomes
India · Patil et al., 2019
Accuracy advantage 6.30
1 study · 40 participants
GRADE not reported

Adaptive dragonfly algorithm with neural-network classifier vs KNN or SVM (not disaggregated in source)

Accuracy advantage in test case 2 · Dental images of human beings

The review reported a 52% accuracy advantage in Patil test case 2 (Ungraded).

2 findings from 1 review

Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. 2022 All outcomes
India · Patil et al., 2019
Accuracy advantage 52
1 study · 40 participants
GRADE not reported
Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. 2022 All outcomes
India · Patil et al., 2019
Accuracy advantage 11.76
1 study · 40 participants
GRADE not reported

Adaptive dragonfly algorithm with neural-network classifier vs K-nearest neighbors; support vector machine; Naive Bayes; LM-NN

Accuracy advantage in test case 1 · Dental images of human beings

The review reported a 5.55% accuracy advantage in Patil test case 1 (Ungraded).

1 finding from 1 review

Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. 2022 All outcomes
India · Patil et al., 2019
Accuracy advantage 5.55
1 study · 40 participants
GRADE not reported