Journal: PeerJ Computer Science

Article Title: Optimized customer churn prediction using tabular generative adversarial network (GAN)-based hybrid sampling method and cost-sensitive learning

doi: 10.7717/peerj-cs.2949

Figure Lengend Snippet: Effect of class weight tuning on SVM decision boundaries for the Telco 1 dataset based on F1-score metric.

Article Snippet: Interestingly, the SVM algorithm performed well on both the Telco 3 and insurance datasets, particularly with moon-shaped clusters as shown in and .

Techniques:

Journal: PeerJ Computer Science

Article Title: Optimized customer churn prediction using tabular generative adversarial network (GAN)-based hybrid sampling method and cost-sensitive learning

doi: 10.7717/peerj-cs.2949

Figure Lengend Snippet: Effect of class weight tuning on SVM decision boundaries for the Telco 3 dataset based on F1-score metric.

Article Snippet: Interestingly, the SVM algorithm performed well on both the Telco 3 and insurance datasets, particularly with moon-shaped clusters as shown in and .

Techniques:

Journal: Healthcare

Article Title: Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives

doi: 10.3390/healthcare10112188

Figure Lengend Snippet: Summary of related studies for AI application in periodontology.

Article Snippet: Disease detection , Abdalla-Aslan et al., 2020 [ ] , Cubic SVM based algorithm , Panoramic radiographs , 83 images , Dental restorations , Experienced practitioners , Five-fold , For detection Sensitivity: 0.94, For classification Sensitivity: 0.98 , The model has the potential to detect and classify dental restorations to promote patient’s health.

Techniques: Biomarker Discovery, Diagnostic Assay

Journal: Healthcare

Article Title: Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives

doi: 10.3390/healthcare10112188

Figure Lengend Snippet: Summary of related studies for AI application in orthodontics.

Article Snippet: Disease detection , Abdalla-Aslan et al., 2020 [ ] , Cubic SVM based algorithm , Panoramic radiographs , 83 images , Dental restorations , Experienced practitioners , Five-fold , For detection Sensitivity: 0.94, For classification Sensitivity: 0.98 , The model has the potential to detect and classify dental restorations to promote patient’s health.

Techniques: Biomarker Discovery, Plasmid Preparation, Extraction, Modification

Journal: Healthcare

Article Title: Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives

doi: 10.3390/healthcare10112188

Figure Lengend Snippet: Summary of related studies for AI application in prosthetic/restorative dentistry.

Article Snippet: Disease detection , Abdalla-Aslan et al., 2020 [ ] , Cubic SVM based algorithm , Panoramic radiographs , 83 images , Dental restorations , Experienced practitioners , Five-fold , For detection Sensitivity: 0.94, For classification Sensitivity: 0.98 , The model has the potential to detect and classify dental restorations to promote patient’s health.

Techniques: Biomarker Discovery, Extraction

Journal: Ultrasound in medicine & biology

Article Title: A New Multi-Model Machine Learning Framework to Improve Hepatic Fibrosis Grading Using Ultrasound Elastography Systems from Different Vendors

doi: 10.1016/j.ultrasmedbio.2019.09.004

Figure Lengend Snippet: Difference in AUC between the ML algorithm SVM and median SWV was statistically significant for both groups.

Article Snippet: The ML-based algorithm SVM had excellent diagnostic performance in datasets acquired from Siemens and Philips systems; this result is despite the fact that these two vendors used different elastography techniques.

Techniques: