Cloud Technologies: A New Level for Big Data Mining

Medvedev, Viktor; Kurasova, Olga

doi:10.1007/978-3-319-44881-7_3

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2019

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“…In medicine, data come from various sources, including magnetic resonance imaging, thermovision, radiological, tomographic, ultrasound examination [2,12]. Various data analysis methods and software tools find application in mining these data [14,15]. Spectroscopic techniques may also be a convenient tool for medical diagnostics as they are non-invasive and can be used for many diagnostic purposes [19].…”

Section: Introductionmentioning

confidence: 99%

The ROC-based analysis of spectroscopic signals from medical specimens

Gėgžna

Kurasova

Dzemyda

et al. 2019

NAMC

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Accurate methods of rapid medical diagnostics would obtain recognition among clinicians. In this paper, we present a ROC (receiver operating characteristic) analysis based approach to investigate intrinsic fluorescence spectra of medical samples. The approach provides researchers with capabilities for both spectroscopic feature selection and classification tasks. The method is illustrated using data obtained from samples of uterine cervix's tissues (normal, inflammatory, and precancerous conditions), but it is applicable for data from other types of medical specimens too. The results indicate the possibility to identify spectral ranges at which differences between various medical conditions are most evident as well as potential to apply the method for inflammation (cervicitis) vs. other medical conditions' diagnostics.

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