An Integrating Computational Approach Review to Analyse the Biological Functions

In present study the fractal theory has been reviewed in the context of bio-functional and biomedical complex systems. The chaotic approach is a critical component of the theoretical framework and can be used in analyzing complex biological structures such as chromatin structures. Fractality is a metric of complexity in biological functions; it is an indicator of the complication level of the self-similar structure, while chaos is a sort of dynamic behavior that usually produces totally arbitrary patterns. Fractal measurements in vivo could be used to predict the efficiency of painful therapy. The fractal technique can be used to assess carcinogenesis, tumor progression, chemoprophylaxis, and treatment with the convergence of modern sensing techniques in nano-scale spectroscopic techniques, which is a prospective biomarker. The mathematical principles of fractals and chaos in biological systems are presented in the context of the condition of health treatment and their significance. Fractality in different biological functions including the heart has now been investigated and measured the dosing quantity with chaos and fractal level. As excessive amounts of chaos and fractal complexity are harmful to biological predictions. For biological applications, chaos analysis may be advantageous. This paper is a review which highlights the fractal and chaos theories for biological functions and biomedical systems. The focus will be to explore biological functions, due to its computational machine learning-based demands and capability in mathematical complexity.

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