会议详情:研讨会:遗传和进化计算的医学应用

S. Smith, S. Cagnoni, R. Patton
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引用次数: 0

摘要

MedGEC是关于遗传和进化计算(GEC)在医学和医疗保健问题中的应用的GECCO研讨会。GECCO的一个专门讲习班继续为进化计算的医学相关应用提供急需的关注,不仅提供最新技术的明确定义,而且还为遗传和进化计算可能不是其主要专业知识或经验领域的从业者提供支持。讲习班有两个主要目的:向代表们提供GEC在医学上应用的最新情况的例子。为研究人员提供一个讨论和交流思想的论坛,在理论和实践上相互支持和建议。这是该讲习班在GECCO举办的第十个年头,反映了遗传和进化规划对医学应用的持续重要性。演讲反映了广泛的医疗保健领域,包括:医学成像和信号处理;医疗数据与病历的数据挖掘临床专家系统和知识系统;医学过程建模与仿真临床诊断与治疗。尽管应用范围很广,但对于成功解决所处理的问题,仍然存在一些重要的共同主题。一个反复出现的主题是获得可靠的医疗数据集来训练、测试和评估遗传和进化算法。人们承认,实现“金标准”数据集是有问题的,因为很难接触到患者,而且依赖于传统的临床评估,这往往是主观的,因此可能不可靠。第二个重要的主题是所采用的遗传和进化算法的选择,它对手头问题的适用性以及替代表示的好处。讲习班提供了一个知识渊博和支持的论坛,可以讨论这些问题和其他问题。虽然传统上是遗传和进化计算发展从业者的场所,但希望讲习班也能吸引更广泛的受众,例如对在医学中使用进化算法感兴趣的医生和其他保健专业人员。研讨会的组织者总是乐于接受有关新主题、讨论领域和新活动的建议,并可通过电子邮件直接联系。
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Session details: Workshop: medical applications of genetic and evolutionary computation
Welcome to MedGEC 2014 MedGEC is the GECCO Workshop on the application of genetic and evolutionary computation (GEC) to problems in medicine and healthcare. A dedicated workshop at GECCO continues to provide a much needed focus for medical related applications of evolutionary computation, not only providing a clear definition of the state of the art, but also support to practitioners for whom genetic and evolutionary computation might not be their main area of expertise or experience. The Workshop has two main aims: To provide delegates with examples of the current state of the art of applications of GEC to medicine. To provide a forum in which researchers can discuss and exchange ideas, support and advise each other in theory and practice. This is the tenth year that this Workshop has been presented at GECCO, a reflection of the continued importance of genetic and evolutionary programming to medical applications. Presentations reflect awide range of healthcare areas including: Medical Imaging and Signal Processing; Data Mining Medical Data and Patient Records; Clinical Expert Systems and Knowledge-based Systems; Modeling and Simulation of Medical Processes; and Clinical Diagnosis and Therapy. Despite this broad range of applications, there are common themes of interest that are important in achieving a successful solution to the problems addressed. One recurring theme is accessibility to reliable medical datasets to train, test and evaluate genetic and evolutionary algorithms. It is acknowledged that achieving a "Gold Standard" dataset is problematic, due to the difficulties in gaining access to patients and the reliance on conventional clinical evaluation, which is often subjective, and therefore, potentially unreliable. A second important theme is the choice of genetic and evolutionary algorithm employed, its suitability for the problem at hand and the benefits of alternate representations. The Workshop provides a knowledgeable and supportive forum in which these and other issues can be discussed. Although traditionally a venue for practitioners in genetic and evolutionary computation development, it is hoped that the Workshop will also attract a wider audience, such as medical practitioners and other healthcare professionals who have an interest in the use of evolutionary algorithms in medicine. The Workshop organizers are always receptive to suggestions for new themes, areas for discussion and new activities and can be contacted directly via email.
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