The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
IEEE

Optimizing Machine Learning-Based Ovarian Cancer Prediction Through Normalization Strategies

Abstract: Ovarian cancer is one of the most challenging cancers to detect early, often leading to poor survival rates. This study explores supervised and unsupervised machine learning and deep ...
Frontiers

Identification of unique biomarkers in colorectal cancer based on comprehensive analysis and machine learning

Introduction: Colorectal cancer (CRC) is a common malignant tumor with high incidence and poor prognosis. Identifying effective biomarkers is crucial for its diagnosis and treatment. Methods: Gene ...
IEEE

Early Stage Oral Cancer Detection using Machine Learning and Deep Learning Algorithms

Abstract: Oral cancer remains a significant global health challenge with high mortality rates. The major cause is late recognition of oral cancer, making treatment less effective. This condition is ...