促进神经肌肉疾病患者的交流:在辅助和替代性交流系统中使用模糊逻辑和机器学习的自适应方法

IF 2.6 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers Pub Date : 2023-12-26 DOI:10.3390/computers13010010
Jhon Fernando Sánchez-Álvarez, Gloria Patricia Jaramillo-Álvarez, J. A. Jiménez-Builes
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引用次数: 0

摘要

辅助和替代性交流技术(AAC)对于帮助有交流困难的人来说至关重要。(1) 背景:人们认识到,在神经肌肉疾病的背景下,根据患者不断变化的需求调整动态解决方案是必要的。(2) 方法:为了解决这一问题,我们提出了一种需要事先确定疾病状态的差异化方法。这种方法采用模糊逻辑,通过分析直观模式来确定疾病阶段,并与两种智能系统进行对比。(3) 结果:结果表明,AAC 系统的适应性随着疾病阶段的进展而增强,从而确保其在个人的整个生命周期中都能发挥作用。虽然自适应 AAC 系统显示出改进的迹象,但还需要对更多患者进行更广泛的评估。(4) 结论:对比较研究的定性评估揭示了与提高准确性和适应性相关的困难。这项研究强调了研究使用模糊逻辑或人工智能方法来解决疾病分期中症状变异问题的重要性。
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Facilitating Communication in Neuromuscular Diseases: An Adaptive Approach with Fuzzy Logic and Machine Learning in Augmentative and Alternative Communication Systems
Augmentative and alternative communication techniques (AAC) are essential to assist individuals facing communication difficulties. (1) Background: It is acknowledged that dynamic solutions that adjust to the changing needs of patients are necessary in the context of neuromuscular diseases. (2) Methods: In order address this concern, a differential approach was suggested that entailed the prior identification of the disease state. This approach employs fuzzy logic to ascertain the disease stage by analyzing intuitive patterns; it is contrasted with two intelligent systems. (3) Results: The results indicate that the AAC system’s adaptability enhances with the progression of the disease’s phases, thereby ensuring its utility throughout the lifespan of the individual. Although the adaptive AAC system exhibits signs of improvement, an expanded assessment involving a greater number of patients is required. (4) Conclusions: Qualitative assessments of comparative studies shed light on the difficulties associated with enhancing accuracy and adaptability. This research highlights the significance of investigating the use of fuzzy logic or artificial intelligence methods in order to solve the issue of symptom variability in disease staging.
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来源期刊
Computers
Computers COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
5.40
自引率
3.60%
发文量
153
审稿时长
11 weeks
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