Cover Image

Improving Oral Cancer Outcomes Through Machine Learning and Dimensionality Reduction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Al-Batah, Mohammad Subhi, Alqaraleh, Muhyeeddin, Alzboon, Mowafaq Salem
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Diabetes Prediction and Management Using Machine Learning Approaches
by: Alzboon, Mowafaq Salem, et al.
Published: (2025)

Optimizing Genetic Algorithms with Multilayer Perceptron Networks for Enhancing TinyFace Recognition
by: Al-Batah, Mohammad Subhi, et al.
Published: (2025)

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data
by: Al-Batah, Mohammad Subhi, et al.
Published: (2025)

Classifying Dental Care Providers Through Machine Learning with Features Ranking
by: Al-Batah, Mohammad Subhi, et al.
Published: (2025)

A Comparative Study of Machine Learning Techniques for Early Prediction of Diabetes
by: Alzboon, Mowafaq Salem, et al.
Published: (2025)

Machine Learning-Based Quantification of Vesicoureteral Reflux with Enhancing Accuracy and Efficiency
by: Alqaraleh, Muhyeeddin, et al.
Published: (2025)

Predicting Blood Type: Assessing Model Performance with ROC Analysis
by: Altayar, Malik A., et al.
Published: (2025)

Revolutionizing Blood Banks: AI-Driven Fingerprint-Blood Group Correlation for Enhanced Safety
by: Altayar, Malik A., et al.
Published: (2025)

Enhancing Image Cryptography Performance with Block Left Rotation Operations
by: Mohammad Subhi Al-Batah, et al.
Published: (2024)

A Novel Approach for Enhancing Plant Leaf Classification With the Binary Cuckoo Search Algorithm
by: Mohammad Subhi Al-Batah, et al.
Published: (2025)

Advanced Meta-Ensemble Machine Learning Models for Early and Accurate Sepsis Prediction to Improve Patient Outcomes
by: Khoushabar, MohammadAmin Ansari, et al.
Published: (2024)

Leveraging Machine Learning and Deep Learning Techniques for Improved Pathological Staging of Prostate Cancer
by: Ghalamkarian, Raziehsadat, et al.
Published: (2025)

Visualizing LLM Latent Space Geometry Through Dimensionality Reduction
by: Ning, Alex, et al.
Published: (2025)

Influence of Data Dimensionality Reduction Methods on the Effectiveness of Quantum Machine Learning Models
by: Shinde, Aakash Ravindra, et al.
Published: (2025)

Machine Learning and Optimization Techniques for Solving Inverse Kinematics in a 7-DOF Robotic Arm
by: Adediran, Enoch, et al.
Published: (2024)

From Players to Champions: A Generalizable Machine Learning Approach for Match Outcome Prediction with Insights from the FIFA World Cup
by: Al-Bustami, Ali, et al.
Published: (2025)

Improved Localized Machine Unlearning Through the Lens of Memorization
by: Torkzadehmahani, Reihaneh, et al.
Published: (2024)

Metric Design != Metric Behavior: Improving Metric Selection for the Unbiased Evaluation of Dimensionality Reduction
by: Bae, Jiyeon, et al.
Published: (2025)

ANALYTiC: Understanding Decision Boundaries and Dimensionality Reduction in Machine Learning
by: Haidri, Salman
Published: (2023)

Learning-Augmented K-Means Clustering Using Dimensional Reduction
by: Jabari, Issam K. O, et al.
Published: (2024)

Identifying Chemicals Through Dimensionality Reduction
by: Anand, Emile, et al.
Published: (2022)

Improving Graph Machine Learning Performance Through Feature Augmentation Based on Network Control Theory
by: Said, Anwar, et al.
Published: (2024)

Diffusion Maps is not Dimensionality Reduction
by: Candanedo, Julio, et al.
Published: (2026)

Formation-Controlled Dimensionality Reduction
by: Jeong, Taeuk, et al.
Published: (2024)

Can we Improve Prediction of Psychotherapy Outcomes Through Pretraining With Simulated Data?
by: Jacobs, Niklas, et al.
Published: (2026)

Universal Novelty Detection Through Adaptive Contrastive Learning
by: Mirzaei, Hossein, et al.
Published: (2024)

Improving Clustering on Occupational Text Data through Dimensionality Reduction
by: García, Iago Xabier Vázquez, et al.
Published: (2025)

Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein
by: Van Assel, Hugues, et al.
Published: (2024)

Deriving Hematological Disease Classes Using Fuzzy Logic and Expert Knowledge: A Comprehensive Machine Learning Approach with CBC Parameters
by: Ameen, Salem, et al.
Published: (2024)

Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation
by: Woodland, McKell, et al.
Published: (2024)

Feature Dimensionality Outweighs Model Complexity in Breast Cancer Subtype Classification Using TCGA-BRCA Gene Expression Data
by: Hasani, Meena Al
Published: (2026)

An Explainable AI Model for Predicting the Recurrence of Differentiated Thyroid Cancer
by: Ahmad, Mohammad Al-Sayed, et al.
Published: (2024)

Median Consensus Embedding for Dimensionality Reduction
by: Tomo, Yui, et al.
Published: (2025)

Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning
by: Wen, Junhao, et al.
Published: (2024)

Machine Learning-Assisted High-Dimensional Matrix Estimation
by: Tian, Wan, et al.
Published: (2026)

Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization
by: Lu, Chenbei, et al.
Published: (2024)

Dimensionality Reduction for Robust Federated Learning: A Theoretical Analysis and Convergence Guarantee
by: Zuo, Shiyuan, et al.
Published: (2026)

Multitask Learning Can Improve Worst-Group Outcomes
by: Kulkarni, Atharva, et al.
Published: (2023)

A Cost-Effective Framework for Predicting Parking Availability Using Geospatial Data and Machine Learning
by: Bagosher, Madyan, et al.
Published: (2025)

Class Angular Distortion Index for Dimensionality Reduction
by: Gunaratne, Kaviru, et al.
Published: (2026)