Tahmasebian Shahram, Langarizadeh Mostafa, Ghazisaeidi Marjan, Mahdavi-Mazdeh Mitra
Department of Health Information Management, School of Allied Medical Sciences, Tehran, University of Medical Sciences, Tehran, Iran.
Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Acta Inform Med. 2016 Jul 16;24(4):266-270. doi: 10.5455/aim.2016.24.266-270.
Case-based reasoning (CBR) systems are one of the effective methods to find the nearest solution to the current problems. These systems are used in various spheres as well as industry, business, and economy. The medical field is not an exception in this regard, and these systems are nowadays used in the various aspects of diagnosis and treatment.
In this study, the effective parameters were first extracted from the structured discharge summary prepared for patients with chronic kidney diseases based on data mining method. Then, through holding a meeting with experts in nephrology and using data mining methods, the weights of the parameters were extracted. Finally, fuzzy system has been employed in order to compare the similarities of current case and previous cases, and the system was implemented on the Android platform.
The data on electronic discharge records of patients with chronic kidney diseases were entered into the system. The measure of similarity was assessed using the algorithm provided in the system, and then compared with other known methods in CBR systems.
Developing Clinical fuzzy CBR system used in Knowledge management framework for registering specific therapeutic methods, Knowledge sharing environment for experts in a specific domain and Powerful tools at the point of care.
基于案例的推理（CBR）系统是找到当前问题最接近解决方案的有效方法之一。这些系统应用于各个领域，包括工业、商业和经济。医学领域在这方面也不例外，如今这些系统被用于诊断和治疗的各个方面。
在本研究中，首先基于数据挖掘方法从为慢性肾病患者准备的结构化出院小结中提取有效参数。然后，通过与肾脏病专家召开会议并使用数据挖掘方法，提取参数的权重。最后，采用模糊系统来比较当前案例与先前案例的相似性，并在安卓平台上实现该系统。
将慢性肾病患者的电子出院记录数据输入系统。使用系统中提供的算法评估相似性度量，然后与CBR系统中的其他已知方法进行比较。
开发用于知识管理框架的临床模糊CBR系统，用于记录特定治疗方法、为特定领域的专家提供知识共享环境以及在护理点提供强大工具。
