Dynamic Survival Analysis Using In-Memory Technology

被引：1
|
作者：
Schneiderbauer, Sophie [1 ]
Schweizer, Diana [1 ]
Fey, Theres [1 ]
Nasseh, Daniel [1 ]
机构：
[1] Hosp Ludwig Maximilians Univ Munich, Comprehens Canc Ctr Munich LMU, Bavaria, Germany
来源：
HEALTH INFORMATICS VISION: FROM DATA VIA INFORMATION TO KNOWLEDGE | 2019年 / 262卷
关键词：
Survival Analysis; Data Warehousing; Medical Oncology;
D O I：
10.3233/SHTI190021
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the field of oncology, survival analysis is one of the most important tools in terms of measuring therapy success, evaluating risk or prognostic factors. Within this work, a variety of common survival analyses were embedded into a real-time analysis platform based on a comprehensive oncological dataset. The analysis platform utilizes an in-memory database, therefore allowing spontaneous adjustments of the survival curves to selections and stratifications. In contrast to classical statistics, where individual scripts have to be formulated for every possible request, the running system allows the deduction of instantaneous results.
引用
收藏
页码：79 / 82
页数：4
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