分数顺序的乳腺癌模型,包括基于真实数据的治疗,预防诊断和最佳控制
Shaimaa A M Abdelmohsen1, Haifa A Alyousef2, Sayed Saifullah3
1Department of Physics, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.
Scientific reports
|July 20, 2025
概括
这项研究使用微积分计算来模拟乳腺癌动态,结合治疗和预防. 分数顺序0.98最好匹配现实世界的数据,为最佳疾病控制提供了洞察力.
科学领域:
- 数学建模的数学建模
- 分数微积分的微积分计算.
- 流行病学 流行病学
背景情况:
- 乳腺癌是全球主要的死亡原因,特别是在女性中.
- 早期诊断和有效治疗对于改善患者的治疗结果至关重要.
- 数学模型是理解疾病进展和评估干预措施的重要工具.
研究的目的:
- 在微积分计算框架内分析乳腺癌模型.
- 研究治疗和预防策略对乳腺癌动态的影响.
- 确定最佳的控制策略来管理乳腺癌.
主要方法:
- 部分乳腺癌模型的理论分析.
- 数字模拟用于探索疾病动态和预测.
- 对模型参数的灵敏度分析以确定关键因素.
- 模型预测与现实世界流行病学数据的比较.
主要成果:
- 分数乳腺癌模型为疾病进展和控制提供了洞察力.
- 敏感性分析确定了影响乳腺癌传播的关键参数.
- 为有效的疾病管理提出了最佳控制策略.
- 模型结果与现实世界数据密切一致,特别是在0.98.8的分数数级.
结论:
- 分数计算为模拟乳腺癌等复杂疾病提供了一种有价值的方法.
- 这些发现强调了早期干预和量身定制的治疗策略的重要性.
- 这项研究为预测和控制乳腺癌传播提供了强有力的框架.
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