Otoneurological expert system for vertigo.
Otoneurological expert system for vertigo.
复制标题
眩晕耳神经学专家系统。
DOI：
10.1080/00016489950180720
复制
发表时间：
1999
影响因子：
1.4
通讯作者：
M. Juhola
中科院分区：
文献类型：
--
作者：
E. Kentala;I. Pyykkö;Y. Auramo;J. Laurikkala;M. Juhola
我们已经开发了一个耳神经专家系统（ONE），以帮助诊断眩晕，协助教学和实施一个数据库的研究。ONE数据库旨在收集眩晕患者诊断工作所需的患者病史、体征和测试结果数据。在推理过程中采用了基于模式识别的方法。对每种疾病的症状、体征和检测结果进行加权和评分，并从定义的疾病概况中识别出最可能的疾病。用类似模糊逻辑的方法求解缺失信息和不确定性。ONE是通过比较医生评估的诊断和系统提供的诊断来验证的。它被证明是一个有效的决策者，正确解决了65%的病例，而医生的平均值为69%。为了进一步改善ONE，应该对患者进行随访，因为在第一次就诊时诊断突发性耳聋和梅尼埃氏病通常是不可能的。我们的目标是通过应用自适应计算机应用程序，如遗传算法，来获得与眩晕有关的疾病的新信息。
We have developed an otoneurological expert system (ONE) to aid the diagnostics of vertigo, to assist teaching and to implement a database for research. The ONE database is set to harvest data on patient history, signs and test results necessary for diagnostic work with vertiginous patients. A method based on pattern recognition was used in the reasoning process. Questions about symptoms, signs and test results are weighted and scored for each disease and the most likely disease is recognized from defined disease profiles. Missing information and uncertainties are solved with a method resembling fuzzy logic. ONE was validated by comparing diagnoses assessed by physicians with those provided by the system. It proved to be a valid decision-maker by solving 65% of the cases correctly, while the physicians' mean was 69%. To improve ONE further, a follow-up should be implemented for the patients, since diagnosing sudden deafness and Meniere's disease during the first visit is often impossible. We aim to obtain new information on diseases involving vertigo by applying adaptive computer applications, such as genetic algorithms, to the reasoning process.
DOI：
--
发表时间：
1994
期刊：
The American journal of otology
影响因子：
--
作者：
Telian,SA
通讯作者：
Telian,SA