Journal: Heliyon

Article Title: Exploring the dominant features and data-driven detection of polycystic ovary syndrome through modified stacking ensemble machine learning technique

doi: 10.1016/j.heliyon.2023.e14518

Figure Lengend Snippet: A summary of traditional machine learning classifiers used for different healthcare predictive studies.

Article Snippet: Another work in this domain had been proposed by Agrawal et al. , where the top 30 features from the data were determined using the Chi-square technique, and the underlying state of PCOS was predicted using Random Forest, SVM, Logistic Regression, Gaussian Naive Bayes, and K Neighbors utilizing this reduced feature vector.

Techniques: Plasmid Preparation, Biomarker Discovery

Journal: Heliyon

Article Title: Exploring the dominant features and data-driven detection of polycystic ovary syndrome through modified stacking ensemble machine learning technique

doi: 10.1016/j.heliyon.2023.e14518

Figure Lengend Snippet: F1-Score Comparison of ML models using different set of features.

Article Snippet: Another work in this domain had been proposed by Agrawal et al. , where the top 30 features from the data were determined using the Chi-square technique, and the underlying state of PCOS was predicted using Random Forest, SVM, Logistic Regression, Gaussian Naive Bayes, and K Neighbors utilizing this reduced feature vector.

Techniques: Comparison

Journal: Journal of biomedical informatics

Article Title: Symptom severity prediction from neuropsychiatric clinical records: Overview of 2016 CEGS N-GRID Shared Tasks Track 2

doi: 10.1016/j.jbi.2017.04.017

Figure Lengend Snippet: Top 10 performing runs, ranked according to the INMAE M (see Section 5). Bolded figures highlight the highest number in the column.

Article Snippet: 16 , SentiMetrix Inc. , Ensemble of Support Vector Machine with RBF kernel, Random Forest, Multinomial Naive Bayes, Adaboost, Deep Neural Network , .892473 , .860465 , .793478 , .905660 , .863019.

Techniques: Plasmid Preparation