[Objective] This paper constructs a fuzzy cognitive map model, aiming to recommend context-driven knowledge for users of online health communities. [Methods] First, we extracted keywords from user comments and used them as concept nodes of the proposed model. Then, we calculated the absolute values of the weight relationship between concept nodes based on the similarity of keyword co-occurrence. Third, we determined the semantic relationship among the keywords through literature reviews and expert collaborations. Finally, we built the fuzzy cognitive map and recommended disease related knowledge using the change of state values among nodes. [Results] Our new model’s precision, recall and F-measure were 0.286, 0.667 and 0.400 respectively. [Limitations] The amount of user comments need to be increased, which will improve the model's performance. [Conclusions] The proposed model optimizes the recommendation mechanism of online health communities and provides better knowledge for patients.
李贺,刘嘉宇,沈旺,刘锐,金帅岐. 基于模糊认知图的在线健康社区知识推荐研究*[J]. 数据分析与知识发现, 2020, 4(12): 55-67.
Li He,Liu Jiayu,Shen Wang,Liu Rui,Jin Shuaiqi. Recommending Knowledge for Online Health Community Users Based on Fuzzy Cognitive Map. Data Analysis and Knowledge Discovery, 2020, 4(12): 55-67.
( Li Yuelin, Zhang Xiu, Wang Shanshan . Health Information Quality in Social Media: An Analysis Based on the Features of Real and Fake Health Information[J]. Journal of the China Society for Scientific and Technical Information, 2018,37(3):294-304.)
( Zhang Haitao, Cui Yang, Wang Dan , et al. Study of Online Healthy Community User Profile Based on Concept Lattice[J]. Journal of the China Society for Scientific and Technical Information, 2018,37(9):912-922.)
( Shan Xiaohong, Wang Chunwen, Liu Xiaoyan , et al. Hybrid Recommendation Algorithms Based on Online Review[J]. Systems Engineering, 2019,37(6):130-138.)
Kosko B . Fuzzy Cognitive Maps[J]. International Journal of Man-Machine Studies, 1986,24(1):65-75.
Jetter A, Schweinfort W . Building Scenarios with Fuzzy Cognitive Maps: An Exploratory Study of Solar Energy[J]. Futures, 2010,43(1):52-66.
Peng Z, Liu W, An S . Haze Pollution Causality Mining and Prediction Based on Multi-Dimensional Time Series with PS-FCM[J]. Information Sciences, 2020,523:307-317.
Amirkhani A, Papageorgiou E I, Mohseni A , et al. A Review of Fuzzy Cognitive Maps in Medicine: Taxonomy, Methods, and Applications[J]. Computer Methods and Programs in Biomedicine, 2017,142:129-145.
Akinnuwesi B A, Adegbite B A, Adelowo F , et al. Decision Support System for Diagnosing Rheumatic-Musculoskeletal Disease Using Fuzzy Cognitive Map Technique[J]. Informatics in Medicine Unlocked, 2020,18:100279.
( Fang Xiaoke, Ye Shasha, Yan Chengxi . Research on Knowledge Recommendation Model Integrating Situational Semantics Based on Virtual Academic Community[J]. Information Studies: Theory & Application, 2019,42(9):154-159.)
( Yang Mengqing, Zhu Qinghua . Research on the Behavior Characteristics of Personal Health Information Management of Online Health Community Users[J]. Library and Information Service, 2020,64(1):105-112.)
( Xu Yunhong, Li Shilin, Xu Yunli . Participation Behavior of Users with Different Level Ranks in Online Health Communities: A Growth Model Perspective[J]. Journal of Intelligence, 2020,39(8):137-144.)
Marchant T . Cognitive Maps and Fuzzy Implications[J]. European Journal of Operational Research, 1999,114(3):626-637.
Fasli M . Interrelations Between the BDI Primitives:Towards Heterogeneous Agents[J]. Cognitive Systems Research, 2003,4(1):1-22.
Harmati I, Koczy L T. Stability of Fuzzy Cognitive Maps with Interval Weights [C]//Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology. 2019.
Qiu J, Gu W, Wang G . Causal Reasoning of Emergency Cases Based on Fuzzy Cognitive Map[J]. Procedia Computer Science, 2019,159:1238-1245.
( Chen Guo, He Shiyuan . Integration of Multi-component Domain Concept Relation Systems for Network Community: Mechanism and Implementation[J]. Information Studies: Theory & Application, 2019,42(1):147-152.)
张路 . 基于数据挖掘的选煤生产过程智能诊断研究[D]. 徐州: 中国矿业大学, 2019.
( Zhang Lu . Research on Intelligent Diagnosis of Coal Preparation Process Based on Data Mining[D]. Xuzhou: China University of Mining and Technology, 2019.)
( Zhang Liang, Zhang Jichun, Zhang Licai , et al. Vacuum Sealing Drainage Combined with Alprostadil and Epalrestat in the Treatment of Diabetic Foot Ulcer[J]. Chinese Journal of Clinical Research, 2020,33(3):359-362.)
Kosko B . Hidden Patterns in Combined and Adaptive Knowledge Networks[J]. International Journal of Approximate Reasoning, 1988,2(4):377-393.
( Yang Zhaobin, Chen Huiping, Lai Jiawei , et al. Therapeutic Effect of Pien Tze Huang on Liver Damage Caused by Diabetes and Sepsis[J]. Diabetes New World, 2019,22(19):18-20.)
Ma H, Jia M, Xie M, et al. A Microblog Recommendation Algorithm Based on Multi-Tag Correlation [C]//Proceedings of the 8th International Conference on Knowledge Science, Engineering and Management, Chongqing,China. 2015, 483-488.