2020
DOI: 10.47587/sa.2020.1318
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The diagnostic value of anti-mullerian hormone in female infertility evaluation

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Cited by 2 publications
(2 citation statements)
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“…Linear Regression, Logistic Regression, Decision Tree, SVM (Support Vector Machine) Algorithm, Naive Bayes Algorithm, KNN (K-Nearest Neighbours) Algorithm, K-Means and Random Forest Algorithm are some of the most used machine learning algorithms [170][171][172] as shown in Figure 7.…”
Section: Machine Learning and Biochar: Past And The Future 41 Classif...mentioning
confidence: 99%
“…Linear Regression, Logistic Regression, Decision Tree, SVM (Support Vector Machine) Algorithm, Naive Bayes Algorithm, KNN (K-Nearest Neighbours) Algorithm, K-Means and Random Forest Algorithm are some of the most used machine learning algorithms [170][171][172] as shown in Figure 7.…”
Section: Machine Learning and Biochar: Past And The Future 41 Classif...mentioning
confidence: 99%
“…In an Alzheimer's disease transgenic mouse model, date supplementation proved to be beneficial [9]. The bioactive components of dates with strong antioxidant properties, such as tannins [10] and polyphenols (which comprise phenolic acids, hydroxybenzoic and hydroxycinnamic acids, flavonoid glycosides, and proanthocyanidins), are thought to be responsible for their pharmacological actions [11]. Date pit extract was additionally demonstrated to hinder DNA damage and mediate antigenotoxic effects [12].…”
Section: Introductionmentioning
confidence: 99%