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Journal of Cancer Research and Clinical Oncology

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02.05.2023 | Research

Classification of skin cancer stages using a AHP fuzzy technique within the context of big data healthcare

verfasst von: Moslem Samiei, Alireza Hassani, Sliva Sarspy, Iraj Elyasi Komari, Mohammad Trik, Foad Hassanpour

Erschienen in: Journal of Cancer Research and Clinical Oncology | Ausgabe 11/2023

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Abstract

Background and objectives

Skin conditions in humans can be challenging to diagnose. Skin cancer manifests itself without warning. In the future, these illnesses, which have been an issue for many, will be identified and treated. With the rapid expansion of big data healthcare framework summarization and precise prediction in early stage skin cancer diagnosis, the fuzzy AHP technique produces the best results in both of these fields. Big data is a potent technology that enhances the standard of research and generates better results more rapidly. This essay gives a way to group the stages of skin cancer treatment based on this information. The combination of support vector machine multi-class classification and fuzzy selector with radial basis function-based binary migration classification of virtual machines is put through a number of experiments. The connections have been categorized.

Analysis method

These examinations have determined whether the tumors are malignant or benign and how malignant they are. The images of spots on the skin acquired from laboratory images make up the data set used for processing. We have talked about how to handle and process large datasets in the area of classification using MATLAB, like skin spot images.

Findings

Our technique outperforms competing approaches by maintaining stability even as the size of the data set grows rapidly and with little error. In comparison to other methods, the suggested approach meets the accuracy criterion for correct classifications with a score of 90.86%. As a result, the proposed solution is viewed as a potentially useful tool for identifying mass stages and categorizing skin cancer severity.

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Titel: Classification of skin cancer stages using a AHP fuzzy technique within the context of big data healthcare
verfasst von: Moslem Samiei
Alireza Hassani
Sliva Sarspy
Iraj Elyasi Komari
Mohammad Trik
Foad Hassanpour
Publikationsdatum: 02.05.2023
Verlag: Springer Berlin Heidelberg
Erschienen in: Journal of Cancer Research and Clinical Oncology / Ausgabe 11/2023
Print ISSN: 0171-5216
Elektronische ISSN: 1432-1335
DOI: https://doi.org/10.1007/s00432-023-04815-x

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Classification of skin cancer stages using a AHP fuzzy technique within the context of big data healthcare