Journal: Frontiers in Computational Neuroscience

Article Title: Spatial component analysis of MRI data for Alzheimer's disease diagnosis: a Bayesian network approach

doi: 10.3389/fncom.2014.00156

Figure Lengend Snippet: Training accuracy of the atlas-defined brain regions by the Naive Bayes classifiers ensemble . Axial slices.

Article Snippet: Moreover, modeling these dependencies can increase the classification capabilities, if compared to naive Bayes classification (Cheng and Greiner, ).

Techniques:

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: Tourism Management

Article Title: Recommend or not? The influence of emotions on passengers’ intention of airline recommendation during COVID-19

doi: 10.1016/j.tourman.2022.104675

Figure Lengend Snippet: Investigations on recommendation topics in the airline industry since 2010.

Article Snippet: , Kaggle , Passenger , Naive Bayes Classifiers , Customer complaint, customer sentiment.

Techniques: