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Developing Diagnostic DSSs Based on a Novel Data Collection Methodology

机译：基于新型数据收集方法开发诊断DSS

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摘要

Although necessary information on prognostic implications is missing and reliable data are available in very few areas of medicine, there is an increasing demand for diagnostic decision support systems (DDSS), mainly due to the multitude of variables involved and highly complex relations between them. Unfortunately, existing approaches seem inadequate for providing accurate and high quality data - a prerequisite for establishing a successful DDSS. In this paper, we demonstrate how SISDS methodology that aims to remedy the deficiencies of current systems in use can be utilized to ease the data collection process and provide opportunities to construct DDSSs without tedious pre-processing and data preparation steps. We also provide empirical results on a real-world testbed application in the field of radiology.
机译：尽管缺少有关预后意义的必要信息，并且在极少的医学领域中可获得可靠的数据，但对诊断决策支持系统（DDSS）的需求却不断增加，这主要是由于所涉及的变量众多以及它们之间的高度复杂关系。不幸的是，现有方法似乎不足以提供准确和高质量的数据，这是建立成功的DDSS的前提。在本文中，我们演示了如何利用旨在弥补当前使用中系统缺陷的SISDS方法来简化数据收集过程，并提供构建DDSS的机会，而无需进行繁琐的预处理和数据准备步骤。我们还将在放射学领域的实际测试平台应用上提供经验结果。

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