A computational probabilistic procedure to quantify the time of breast cancer recurrence after chemotherapy administration

Clara Burgos, Juan Carlos Cortés, Sergio. Díez-Domingo, Elena López-Navarro, Jose Villanueva-Tarazona and Rafael Jacinto Villanueva

Chaos, Solitons & Fractals, 2024, vol. 188, issue C

Abstract: We propose a random linear differential equation with jumps to model the dynamics of breast tumor growth using real patients’ data. The model considers the effect of chemotherapy administration and tumor resection. Also, the inherent randomness of the data and the model are taken into account.

Keywords: Breast cancer; Mathematical growth modeling; Uncertainty quantification; Principle of maximum entropy; Random variable transformation; Probabilistic calibration; Relapse prediction; Chemotherapy strategies (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:188:y:2024:i:c:s0960077924010981

DOI: 10.1016/j.chaos.2024.115546

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