ACESO:分析宫颈癌:循证治疗优化

P. Katrakazas, Marilena Tarousi, K. Giokas, D. Koutsouris
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引用次数: 0

摘要

决定宫颈癌(CxCa)的治疗并不是一件简单的事情。从生存、治疗、毒性、患者生活质量以及患者的地理位置(这表明可获得特定医疗保健资源)的角度来看,存在几个相互竞争的因素。所有这些因素在最终决定进行手术、化疗和放疗时都起着重要作用。我们的目标是开发一个集成了大数据分析(BDA)平台的综合平台,能够收集和分析与现有干预措施有效性相关的异构数据,并发现更有效的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ACESO: Analysis of Cervical Cancer: An Evidence-Based Treatments Optimization
Deciding for Cervical Cancer (CxCa) treatment is not a simple task. There are several competing factors that arise from the perspective of survival, treatment, toxicity, quality of patient’s life, as well as the geographic location of the patient, which indicates access to specific healthcare resources. All of these factors play a significant role in the ultimate decision to pursue surgery, chemotherapy, and radiation therapy. Our aim is to develop an integrated platform incorporating a big data analytics (BDA) platform, enabling the collection and analysis of heterogeneous data related to the effectiveness of existing interventions and to the discovery of more effective techniques.
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