Lázaro Esther, Moscardó Vanessa
Faculty of Health Sciences, Valencian International University, Calle Pintor Sorolla 21, 46002 Valencia, Spain.
Healthcare (Basel). 2024 Oct 8;12(19):2008. doi: 10.3390/healthcare12192008.
This article focuses on describing the main characteristics of the application of NLP in the qualitative assessment of quality of life, as well as its implications and challenges.
The qualitative methodology allows analysing patient comments in unstructured free text and obtaining valuable information through manual analysis of these data. However, large amounts of data are a healthcare challenge since it would require a high number of staff and time resources that are not available in most healthcare organizations.
One potential solution to mitigate the resource constraints of qualitative analysis is the use of machine learning and artificial intelligence, specifically methodologies based on natural language processing.
本文着重描述自然语言处理在生活质量定性评估中的应用主要特征，及其影响和挑战。
定性方法允许分析非结构化自由文本中的患者评论，并通过对这些数据的人工分析获取有价值的信息。然而，大量数据是医疗保健领域的一项挑战，因为这需要大量工作人员和时间资源，而大多数医疗保健机构并不具备这些资源。
减轻定性分析资源限制的一种潜在解决方案是使用机器学习和人工智能，特别是基于自然语言处理的方法。
