An Ensemble Method for Analyzing Spectral and Clinical Data of Patients with Skin Neoplasms

Ksenia E. Tomnikova orcid (Login required)
Samara National Research University, Russian Federation

Irina A. Matveeva orcid
Samara National Research University, Russian Federation




DOI: 10.18287/JBPE25.11.040309

Abstract

The work is devoted to the application of the ensemble method for the analysis of spectral and clinical data of patients with skin neoplasms. In vivo Raman spectra of skin neoplasms are used as spectral data. To identify the features reflecting the relative concentrations of skin components, the multivariate curve resolution method was used. In addition to spectral signs, clinical data on patients (anamnesis) were used. Ensemble models based on stacking have been developed for three classification cases: benign versus malignant neoplasms, malignant melanoma versus pigmented nevus, malignant melanoma versus pigmented nevus, and seborrheic keratosis. The the area under the Receiver Operating Characteristic (ROC) curve (ROC AUC) of the developed models ranges from 0.81 ± 0.06 to 0.85 ± 0.11, which confirms the effectiveness of the ensemble method and the anamnesis for the identification of skin neoplasms.

Keywords

skin neoplasms; Raman spectroscopy; multivariate curve resolution method; ensemble algorithm; stacking; medical history; clinical data

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References


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