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Each row is one question a systematic review asked: who, what, compared with what, and which outcome, with the effect it found and how certain that is. Words match anywhere in the field.
4 questions in 1 reviews · cluster CL0083
current versionsNo studies 0 · 0%Ungraded 4 · 100%Very low 0 · 0%Low 0 · 0%Moderate 0 · 0%High 0 · 0%
Ungraded means an effect was reported without a GRADE rating; it is not a gap. No studies means the review found nothing to answer the question. The six categories are a display order, not a score.
Intervention categories, outcome domains and clusters are a proposed key pending human validation. Clear all filters
| 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 |