Research Topic · Peer-Reviewed

Modeling and Numerical Analysis Algorithms for Different Clinical Diseases

Modeling and numerical analysis algorithms are used to analyze the behavior and predict the outcomes of various clinical diseases. These algorithms are important because they help to identify and mitigate risks associated with certain diseases. They also help healthcare providers to better understand the progression…

📚 0 peer-reviewed articles cited 🔖 ISSN 2768-0207 🗓 Reviewed June 2026

Overview

Modeling and numerical analysis algorithms are used to analyze the behavior and predict the outcomes of various clinical diseases. These algorithms are important because they help to identify and mitigate risks associated with certain diseases. They also help healthcare providers to better understand the progression of a disease and identify the most effective form of treatment. By applying the algorithms, clinicians can make sound decisions when dealing with the management of the disease. Additionally, the algorithms can be used for clinical research and to inform public health policies.

Research published in this journal

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Editorial oversight

Curated from peer-reviewed research published in Big Data Research (ISSN 2768-0207).

Journal editorial board
Professor Shangming Zhou · United Kingdom Professor Hong Lin · United States Dr. Rami H. Al-Rifai · United Arab Emirates

This page summarises published research for orientation; it is not medical or professional advice.