A Medical Documents Rewriting Model Based on Medical Knowledge Demanders' Feelings and Emotions

作者：Yang Shih Ting^*

来源：International Journal of Software Engineering and Knowledge Engineering, 2018, 28(3): 333-370.

DOI：10.1142/S0218194018500122

• Knowledge management
• data mining
• medical information
• emotional feelings
• semantic analysis

Medical knowledge is disseminated and shared without any boundary due to the free and convenient sharing of medical documents. However, improper vocabulary and colors of medical documents tend to have an adverse impact on the perception and emotions of medical knowledge demanders. Hence, this paper develops a "Medical Documents Rewriting Model based on Medical Knowledge Demanders' Feelings and Emotions", and analyzes the provocative words and negative colors of medical articles. The words and colors of the target medical article are rewritten by calculating synonyms and suitable color codes. This paper also establishes a web -based medical documents rewriting system and conducts a case study to verify the feasibility of the model. The verification results show that when the system maintains about 600 medical documents, the average satisfaction score can be improved to 3.81 (76.2%). Hence, the developed system has a stable and high-performance level in medical documents rewriting. That is, this model and system can be applied to medical article sharing websites (e.g. A medicine and National Taiwan University Hospital), and the user's negative emotion in reading medical documents can be reduced according to the medical article rewriting results. For medical knowledge demanders, the probability of obtaining medical knowledge with friendliness and quality can be enhanced.

• 出版日期2018-3