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On the Methods of Artificial Intelligence for Analysis of Oncological Data


A brief overview of artificial intelligence techniques applied to medical data related to oncology is provided. The actual goals of using artificial intelligence are listed, that is, the types of applied problems solved with its use. The initial information is described, which, as a rule, contains genotypic data: about DNA and associated molecules, as well as the general clinical parameters of patients. The description of the logical-mathematical and software approaches of the most known solutions in this area is given. This work is intended to familiarize data analysts with the challenges in modern oncology with the use of artificial intelligence, as well as to guide biomedical researchers on the variety of data-mining methods and capabilities.

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This study was financially supported by the Russian Foundation for Basic Research (project no. 18-29-03063).

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Corresponding authors

Correspondence to D. K. Chebanov or I. N. Mikhaylova.

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The authors declare that they have no conflict of interest. This article does not contain any studies involving animals or human participants performed by any of the authors.

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Chebanov, D.K., Mikhaylova, I.N. On the Methods of Artificial Intelligence for Analysis of Oncological Data. Autom. Doc. Math. Linguist. 54, 255–259 (2020).

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  • artificial intelligence
  • intelligent system
  • oncology
  • genetic data
  • mutations
  • immune data
  • JSM‑method of ASSR