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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >A data mining system for providing analytical information on brain tumors to public health decision makers
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A data mining system for providing analytical information on brain tumors to public health decision makers

机译：一种数据挖掘系统，用于向公共卫生决策者提供有关脑肿瘤的分析信息

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Cancer is the leading cause of death in economically developed countries and the second leading cause of death in developing countries. Malignant brain neoplasms are among the most devastating and incurable forms of cancer, and their treatment may be excessively complex and costly. Public health decision makers require significant amounts of analytical information to manage public treatment programs for these patients. Data mining, a technology that is used to produce analytically useful information, has been employed successfully with medical data. However, the large-scale adoption of this technique has been limited thus far because it is difficult to use, especially for non-expert users. One way to facilitate data mining by non-expert users is to automate the process. Our aim is to present an automated data mining system that allows public health decision makers to access analytical information regarding brain tumors. The emphasis in this study is the use of ontology in an automated data mining process. The non-experts who tried the system obtained useful information about the treatment of brain tumors. These results suggest that future work should be conducted in this area. ? 2012 Elsevier Ireland Ltd.
机译：癌症是经济发达国家的主要死因，也是发展中国家的第二大死因。恶性脑肿瘤是最破坏性和不可治愈的癌症之一，其治疗可能过于复杂和昂贵。公共卫生决策者需要大量分析信息来管理这些患者的公共治疗方案。数据挖掘是一种用于产生分析上有用的信息的技术，已成功用于医疗数据。但是，由于难以使用，特别是对于非专业用户，这种技术的大规模使用到目前为止受到限制。促进非专家用户进行数据挖掘的一种方法是使过程自动化。我们的目标是提供一种自动化的数据挖掘系统，该系统可使公共卫生决策者访问有关脑肿瘤的分析信息。本研究的重点是在自动化数据挖掘过程中使用本体。尝试过该系统的非专家获得了有关脑肿瘤治疗的有用信息。这些结果表明，应该在这一领域进行进一步的工作。 ？ 2012爱思唯尔爱尔兰有限公司

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