Article

Comparative Performance of Classical Statistical and Machine Learning Models for Melanoma Classification

2026-07-31

Abstract excerpt

Early and accurate classification of melanoma is essential for improving patient outcomes and supporting clinical decision-making. Although numerous predictive models have been proposed, comparisons between classical statistical approaches and modern machine learning algorithms are often limited by heterogeneous analytical workflows and inconsistent validation strategies. This study aimed to compare the predictive...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 1126d995-b254-585c-bdee-532b06ea14f7
DOI: 10.20944/preprints202607.2306.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Comparative Performance of Classical Statistical and Machine Learning Models for Melanoma ClassificationDOI 10.20944/preprints202607.2306.v1Read

Individualized melanoma risk prediction using machine learning with electronic health recordsSemantic proximity Read

Melanoma Prediction Using a Deep Convolutional Neural Network (CNN) ModelSemantic proximity Read

Machine Learning Techniques in Predicting BRAF Mutation Status in Cutaneous Melanoma From Clinical and Histopathologic Features.Semantic proximity Read

Recommendations for Primary Prevention of Skin MelanomaSemantic proximity Read

Machine learning modeling and prognostic value analysis of invasion-related genes in cutaneous melanomaSemantic proximity Read

A nomogram for predicting survival in patients with upper limb melanoma: A study based on the Surveillance, Epidemiology, and End Results databaseSemantic proximity Read

Effectiveness of Total-Body Screening Examination in Diagnosing Melanoma at Earlier Stages: A Cohort StudySemantic proximity Read

Explainable machine learning identifies features and thresholds predictive of immunotherapy responseSemantic proximity Read

Which melanoma patient carries a BRAF-mutation? A comparison of predictive models.Semantic proximity Read

Integrative Approaches for Skin Cancer Detection and Classification : A Dual modal AnalysisSemantic proximity Read

Biomarker Discovery for Meta-Classification of Melanoma Metastatic Progression using Transfer LearningSemantic proximity Read

Early Stage Melanoma Benchmark DatasetSemantic proximity Read