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A Collaborative Framework Based for Semantic Patients-Behavior Analysis and Highlight Topics Discovery of Alcoholic Beverages in Online Healthcare Forums
Hamed Jelodara b✉, Yongli Wangb c✉, Mahdi Rabbanib, Gang Xiaod, Ruxin Zhaob
- aSchool of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, 210094, China. jelodar@njust.edu.cn
- bSchool of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, 210094, China
- cSchool of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, 210094, China. yongliwang@njust.edu.cn
- dScience and Technology on Complex Systems Simulation Laboratory, Beijing, 100101, China
- ✉Corresponding author
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Abstract
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TL;DRA semantic framework based on topic model (LDA) and Random forest(RF) to predict and retrieval latent topics of healthcare text-documents from an online forum and experiments show that social media forums could help for detecting significant patient safety problems on healthcare issues. (Semantic Scholar)