An Automatic System for Helping Health Consumers to Understand Medical Texts
Author:
Affiliation:
1. University of Palermo and Anghelos Centre on Communication Studies, Italy
2. University of Palermo, Italy
3. University of Palermo and Euro-Mediterranean Institute of Science and Technology, Italy
Publisher
SCITEPRESS - Science and and Technology Publications
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. DeepEva: A deep neural network architecture for assessing sentence complexity in Italian and English languages;Array;2021-12
2. On-Line Retrieval of Health Information Based on Language Complexity, Information Customization and Information Quality;Communications in Computer and Information Science;2021
3. Language Complexity in On-line Health Information Retrieval;Communications in Computer and Information Science;2020
4. Machine Learning Models for Measuring Syntax Complexity of English Text;Advances in Intelligent Systems and Computing;2019-07-17
5. A Wavelet approach to extract main features from indirect immunofluorescence images;Proceedings of the 20th International Conference on Computer Systems and Technologies;2019-06-21
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