Prediction of fluctuations in a chaotic cancer model using machine learning

被引：4

作者：

Sayari, Elaheh ^{[1
]}

da Silva, Sidney T. ^{[1
,2
]}

Iarosz, Kelly C. ^{[3
,4
]}

Viana, Ricardo L. ^{[5
,6
]}

Szezech Jr, Jose D. ^{[1
,7
]}

Batista, Antonio M. ^{[1
,7
]}

机构：

[1] Univ Estadual Ponta Grossa, Grad Program Sci, Ponta Grossa, PR, Brazil

[2] Univ Fed Parana, Curitiba, PR, Brazil

[3] Univ Ctr UNIFATEB, Telemaco Borba, Parana, Brazil

[4] Fed Technol Univ Parana, Grad Program Chem Engn, Ponta Grossa, PR, Brazil

[5] Univ Fed Parana, Dept Phys, Curitiba, PR, Brazil

[6] Univ Sao Paulo, Inst Phys, Sao Paulo, SP, Brazil

[7] Univ Estadual Ponta Grossa, Math & Stat Dept, Ponta Grossa, PR, Brazil

来源：

CHAOS SOLITONS & FRACTALS | 2022年 / 164卷

基金：

巴西圣保罗研究基金会;

关键词：

Cancer; Mathematical methods; Chaotic attractor; Machine learning; Fluctuations; MATHEMATICAL-MODEL; TUMOR-GROWTH; CHEMOTHERAPY; IMMUNOTHERAPY; DYNAMICS;

D O I：

10.1016/j.chaos.2022.112616

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

Cancer is a group of diseases and the second leading cause of death according to World Health Organization. Mathematical and computational methods have been used to explore the cancer cells spread and the mechanism of their growth. We study a cancer model that exhibits both periodic and chaotic attractors. It describes the interactions among host, effector immune, and cancer cells. It is observed fluctuations in the population of cells. The fluctuation range can be associated with the appearance of tumour cells. In this work, we use machine learning algorithms for the prediction of fluctuations. We show that our machine learning classification is able to identify fluctuations that are associated with the growth rate of cancer cells.

引用

页数：6

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