We present our Interactive Medical Miner, a tool for classification and model drill-down, designed to study epidemiological data. Our tool encompasses supervised learning (with decision trees and classification rules), utilities for data selection, and a rich panel with options for inspecting individual classification rules, and for studying the distribution of variables in each of the target classes. Since some of the epidemiological data available to the medical researcher may be still unlabeled (e.g. because the medical recordings for some part of the cohort are still in progress), our Interactive Medical Miner also supports the juxtaposition of labeled and unlabeled data. The set of methods and scientific workflow supported with our tool have been published in.
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机译：我们提供了用于研究流行病学数据的用于分类和模型下钻的工具Interactive Medical Miner。我们的工具包括监督学习（带有决策树和分类规则），用于数据选择的实用程序以及功能丰富的面板，其中包含用于检查各个分类规则以及研究每个目标类别中的变量分布的选项。由于医学研究人员可获得的一些流行病学数据可能仍未标记（例如，由于该队列的某些部分的医学记录仍在进行中），因此我们的Interactive Medical Miner还支持将标记的数据和未标记的数据并置。我们的工具支持的方法集和科学工作流程已发布。
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