Same question across reviews · CL0083
DTA :: Unclassified intervention -> Other outcome
ProposalThis cluster groups questions by review type, intervention category and outcome domain. It is a proposal pending human validation, so questions in it may differ in population, comparator or timing.
Reviews
1
Questions
4
current versions
GRADE rated
0
Review overlap (CCA)
NR
over all included studies of these reviews, not this question only
| Question | Effect | Evidence | Status / GRADE |
|---|---|---|---|
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 · Patil et al., 2019 Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. (2022) | Accuracy advantage 6.30 | 1 study · 40 participants | Ungraded |
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 · Patil et al., 2019 Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. (2022) | Accuracy advantage 52 | 1 study · 40 participants | Ungraded |
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 · Patil et al., 2019 Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. (2022) | Accuracy advantage 11.76 | 1 study · 40 participants | Ungraded |
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 · Patil et al., 2019 Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries. (2022) | Accuracy advantage 5.55 | 1 study · 40 participants | Ungraded |