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构建个性化癌症治疗系统。

Building a Personalized Cancer Treatment System.

作者信息

Martinez Alexandra, López Gustavo, Bola Nos Constantino, Alvarado Daniel, Solano Andrés, López Mariana, Báez Andrés, Quirós Steve, Mora Rodrigo

机构信息

Escuela de Ciencias de la Computación e Informática (ECCI), Universidad de Costa Rica, San José, Costa Rica.

Centro de Investigaciones en Tecnologías de la Información y Comunicación (CITIC), Universidad de Costa Rica, San José, Costa Rica.

出版信息

J Med Syst. 2017 Feb;41(2):28. doi: 10.1007/s10916-016-0678-z. Epub 2016 Dec 27.

DOI:10.1007/s10916-016-0678-z
PMID:28028763
Abstract

This paper reports the process by which a personalized cancer treatment system was built, following a user-centered approach. We give some background on personalized cancer treatment, the particular tumor chemosensitivity assay supported by the system, as well as some quality and legal issues related to such health systems. We describe how Contextual Design was applied when building the system. Contextual design is a user-centered design technique involving seven steps. We also provide some details about the system implementation. Finally, we explain how the Think-Aloud protocol and Heuristic Evaluation methods were used to evaluate the system and report its results. A qualitative assessment from the users perspective is also provided. Results from the heuristic evaluation indicate that only one of ten heuristics was missing from the system, while five were partially covered and four were fully covered.

摘要

本文报告了一种以用户为中心的方法构建个性化癌症治疗系统的过程。我们介绍了个性化癌症治疗的一些背景、该系统支持的特定肿瘤化学敏感性测定,以及与这类健康系统相关的一些质量和法律问题。我们描述了在构建系统时如何应用情境设计。情境设计是一种以用户为中心的设计技术,包括七个步骤。我们还提供了有关系统实施的一些细节。最后,我们解释了如何使用出声思考协议和启发式评估方法来评估系统并报告其结果。还提供了从用户角度进行的定性评估。启发式评估的结果表明,该系统仅缺少十条启发式规则中的一条,五条部分涵盖,四条完全涵盖。

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Building a Personalized Cancer Treatment System.构建个性化癌症治疗系统。
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2
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本文引用的文献

1
A novel web informatics approach for automated surveillance of cancer mortality trends.一种用于癌症死亡率趋势自动监测的新型网络信息学方法。
J Biomed Inform. 2016 Jun;61:110-8. doi: 10.1016/j.jbi.2016.03.027. Epub 2016 Apr 1.
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Supplemental Screening for Breast Cancer in Women With Dense Breasts: A Systematic Review for the U.S. Preventive Services Task Force.乳腺致密女性的乳腺癌补充筛查:美国预防服务工作组的系统评价
Ann Intern Med. 2016 Feb 16;164(4):268-78. doi: 10.7326/M15-1789. Epub 2016 Jan 12.
3
A Decision Tree Based Classifier to Analyze Human Ovarian Cancer cDNA Microarray Datasets.
基于决策树的分类器分析人类卵巢癌 cDNA 微阵列数据集。
J Med Syst. 2016 Jan;40(1):21. doi: 10.1007/s10916-015-0361-9. Epub 2015 Nov 3.
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Simulation and Visualization of Liver Cancer Ablation Focus in Optical Surgical Navigation.光学手术导航中肝癌消融焦点的模拟与可视化。
J Med Syst. 2016 Jan;40(1):19. doi: 10.1007/s10916-015-0397-x. Epub 2015 Nov 2.
5
The application of data mining techniques to oral cancer prognosis.数据挖掘技术在口腔癌预后中的应用。
J Med Syst. 2015 May;39(5):59. doi: 10.1007/s10916-015-0241-3. Epub 2015 Mar 22.
6
Quantifying and monitoring overdiagnosis in cancer screening: a systematic review of methods.量化和监测癌症筛查中的过度诊断:方法的系统评价
BMJ. 2015 Jan 7;350:g7773. doi: 10.1136/bmj.g7773.
7
Construction the model on the breast cancer survival analysis use support vector machine, logistic regression and decision tree.使用支持向量机、逻辑回归和决策树构建乳腺癌生存分析模型。
J Med Syst. 2014 Oct;38(10):106. doi: 10.1007/s10916-014-0106-1. Epub 2014 Aug 14.
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A new method based for diagnosis of breast cancer cells from microscopic images: DWEE--JHT.一种基于显微镜图像诊断乳腺癌细胞的新方法:DWEE--JHT。
J Med Syst. 2014 Sep;38(9):92. doi: 10.1007/s10916-014-0092-3. Epub 2014 Jul 15.
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Using technology to deliver cancer follow-up: a systematic review.利用技术进行癌症随访:一项系统综述。
BMC Cancer. 2014 May 3;14:311. doi: 10.1186/1471-2407-14-311.
10
Temporal representation of care trajectories of cancer patients using data from a regional information system: an application in breast cancer.使用区域信息系统的数据对癌症患者的护理轨迹进行时间表示:在乳腺癌中的应用。
BMC Med Inform Decis Mak. 2014 Apr 2;14:24. doi: 10.1186/1472-6947-14-24.