Based on the analysis, we discuss the role of statistical techniques in diagnostic problem-solving and reasoning patterns that make the application of statistics powerful. The contribution to theory in statistics is not in the individual techniques but in their application and integration in a ...
It presents a historical perspective of these techniques. Because of various limitations of the existing techniques, a group of researchers turned to the expert physician as a resource that might provide detailed insights into the basic nature of clinical problem-solving and to the field of ...
Syndromic surveillance systems are critical for public health surveillance because they often provide epidemiologists and public health officials the visual analytics tools and techniques to synthesize information and detect the data ano... H Chen,D Zeng,Y Ping - Springer US 被引量: 5发表: 2010年 ...
Basic models for diagnostic reasoning are based on causal connections between the system parameters. In this paper a knowledge representation and problem solving technique is presented as a ground-laying step. The technique is based on the concepts introduced by Iwasaki and Simon 9 and employs the ...
Furthermore, general techniques such as data mining and case-based reasoning have been applied to different fields of application. Data mining allows the automatic detection of features and trends i...
A problem may be due to a fault in the system or its installation so it is essential to make full use of your dealer’s diagnostic skills. naimaudio.com 问题可能是由于系统故障或 安装导致,所以必须充分利用您的经销 商的 诊 断 技术。 naimaudio.com [...] techniques, some of which do...
Utilization of typical imaging features on conventional MR imaging techniques and other problem-solving techniques, such as chemical shift imaging and diffusion-weighted imaging (DWI), to achieve accurate final diagnosis has been highlighted.关键词: Bone marrow lesion chemical shift imaging diffusion ...
Clinical reasoning is a set of problem-solving processes specifically designed for diagnosis and management of a patient’s medical condition. Commonly used diagnostic techniques include differential diagnosis formation, intuitive reasoning, analytical reasoning, and Bayesian inference. Early assessments of the...
Furthermore, one of the biggest challenges of artificial intelligence prediction techniques and other ISHM techniques is verification and verification (V&V). The complexity of the artificial intelligence system makes its V&V very difficult before deployment. The V&V based on artificial intelligence has ...