一种肺癌个性化治疗方案推荐方法、系统及存储介质
By integrating patient data and optimizing interactive models, personalized lung cancer treatment plans are generated, which solves the problems of insufficient personalization and balance of effects in traditional treatment plans, and achieves the effects of precision treatment and reduced side effects.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HANGZHOU YUANHE HEALTH TECHNOLOGY CO LTD
- Filing Date
- 2026-04-01
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional lung cancer treatment plans lack personalization, cannot effectively integrate multidimensional data, and are difficult to achieve the best balance between treatment effectiveness and side effects, resulting in limited treatment effects and significant side effects.
By integrating patients' clinical indicators, molecular data, and gene mutation information, and using optimization algorithms and interaction models, a multidimensional data matrix is constructed, dimensionality reduction and weight optimization are performed, and personalized treatment plans are generated. The interaction between toxic side effects and quality of life is analyzed using Bayesian networks, and iterative optimization is carried out.
This achieves improved precision and effectiveness of personalized treatment plans, reduces side effects, enhances the overall balance of treatment, and improves the efficiency and stability of the intelligent decision-making system, ensuring the continued excellence and reliability of recommended results.
Smart Images
Figure CN121964045B_ABST