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Recommending Knowledge for Online Health Community Users Based on Fuzzy Cognitive Map |
Li He1(),Liu Jiayu1,Shen Wang1,Liu Rui2,Jin Shuaiqi1 |
1School of Management, Jilin University, Changchun 130022, China 2China-Japan Union Hospital of Jilin University, Changchun 130033, China |
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Abstract [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.
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Received: 09 March 2020
Published: 25 December 2020
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Corresponding Authors:
Li He
E-mail: lihe200303@163.com
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[1] |
李月琳, 张秀, 王姗姗 . 社交媒体健康信息质量研究:基于真伪健康信息特征的分析[J]. 情报学报, 2018,37(3):294-304.
|
[1] |
( 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.)
|
[2] |
张海涛, 崔阳, 王丹 , 等. 基于概念格的在线健康社区用户画像研究[J]. 情报学报, 2018,37(9):912-922.
|
[2] |
( 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.)
|
[3] |
熊回香, 李晓敏, 李跃艳 . 基于图书评论属性挖掘的群组推荐研究[J]. 数据分析与知识发现, 2020,4(2/3):214-222.
|
[3] |
( Xiong Huixiang, Li Xiaomin, Li Yueyan . Group Recommendation Based on Attribute Mining of Book Reviews[J]. Data Analysis and Knowledge Discovery, 2020,4(2/3):214-222.)
|
[4] |
单晓红, 王春稳, 刘晓燕 , 等. 基于在线评论的混合推荐算法[J]. 系统工程, 2019,37(6):130-138.
|
[4] |
( Shan Xiaohong, Wang Chunwen, Liu Xiaoyan , et al. Hybrid Recommendation Algorithms Based on Online Review[J]. Systems Engineering, 2019,37(6):130-138.)
|
[5] |
Kosko B . Fuzzy Cognitive Maps[J]. International Journal of Man-Machine Studies, 1986,24(1):65-75.
|
[6] |
Jetter A, Schweinfort W . Building Scenarios with Fuzzy Cognitive Maps: An Exploratory Study of Solar Energy[J]. Futures, 2010,43(1):52-66.
|
[7] |
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.
|
[8] |
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.
pmid: 28325441
|
[9] |
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.
|
[10] |
房小可, 叶莎莎, 严承希 . 融合情境语义的虚拟学术社区知识推荐模型研究[J]. 情报理论与实践, 2019,42(9):154-159.
|
[10] |
( 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.)
|
[11] |
李珊, 姚叶慧, 厉浩 , 等. 基于ISA联合聚类的组推荐算法研究[J]. 数据分析与知识发现, 2019,3(8):77-87.
|
[11] |
( Li Shan, Yao Yehui, Li Hao , et al. ISA Biclustering Algorithm for Group Recommendation[J]. Data Analysis and Knowledge Discovery, 2019,3(8):77-87.)
|
[12] |
杨梦晴, 朱庆华 . 在线健康社区用户个人健康信息管理行为特征研究[J]. 图书情报工作, 2020,64(1):105-112.
|
[12] |
( 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.)
|
[13] |
许云红, 李仕林, 许云丽 . 在线健康社区不同级别用户的参与行为研究:基于增长模型视角[J]. 情报杂志, 2020,39(8):137-144.
|
[13] |
( 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.)
|
[14] |
Marchant T . Cognitive Maps and Fuzzy Implications[J]. European Journal of Operational Research, 1999,114(3):626-637.
|
[15] |
Fasli M . Interrelations Between the BDI Primitives:Towards Heterogeneous Agents[J]. Cognitive Systems Research, 2003,4(1):1-22.
|
[16] |
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.
|
[17] |
Qiu J, Gu W, Wang G . Causal Reasoning of Emergency Cases Based on Fuzzy Cognitive Map[J]. Procedia Computer Science, 2019,159:1238-1245.
|
[18] |
于丰畅, 陆伟 . 关键词共现网络视角下的学科基础词汇发现[J]. 图书情报工作, 2019,63(9):95-100.
|
[18] |
( Yu Fengchang, Lu Wei . The Discovery of Subject Basic Vocabulary from the Perspective of Keyword Co-occurrence Network[J]. Library and Information Service, 2019,63(9):95-100.)
|
[19] |
李纲, 巴志超 . 共词分析过程中的若干问题研究[J]. 中国图书馆学报, 2017,43(4):93-113.
|
[19] |
( Li Gang, Ba Zhichao . Co-word Analysis: Limitations and Solutions[J]. Journal of Library Science in China, 2017,43(4):93-113.)
|
[20] |
周磊, 杨威, 张玉峰 . 共现矩阵聚类分析的问题与再思考[J]. 情报杂志, 2014,33(6):32-36, 27.
|
[20] |
( Zhou Lei, Yang Wei, Zhang Yufeng . Issues and Re-consideration on Cluster Analysis in Co-occurrence Matrix[J]. Journal of Intelligence, 2014,33(6):32-36, 27.)
|
[21] |
陈果, 何适圆 . 面向网络社区的领域多元概念关联体系融合: 机理与实现[J]. 情报理论与实践, 2019,42(1):147-152.
|
[21] |
( 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.)
|
[22] |
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.
|
[22] |
( Zhang Lu . Research on Intelligent Diagnosis of Coal Preparation Process Based on Data Mining[D]. Xuzhou: China University of Mining and Technology, 2019.)
|
[23] |
张华平, 商建云 . NLPIR-Parser:大数据语义智能分析平台[J]. 语料库语言学, 2019,6(1):87-104.
|
[23] |
( Zhang Huaping, Shang Jianyun . NLPIR-Parser: An Intelligent Semantic Analysis Toolkit for Big Data[J]. Corpus Linguistics, 2019,6(1):87-104.)
|
[24] |
姜春林, 陈玉光 . CSSCI数据导入Bibexcel实现共现矩阵的方法及实证研究[J]. 图书馆杂志, 2010,29(4):58-63, 42.
|
[24] |
( Jiang Chunlin, Chen Yuguang . Transform CSSCI Data to Bibexcel Data to Actualize Co-occurrence Matrix and a Case Study[J]. Library Journal, 2010,29(4):58-63, 42.)
|
[25] |
张亮, 张继春, 张立才 , 等. 负压封闭引流联合前列地尔及依帕司他治疗糖尿病足溃疡[J]. 中国临床研究, 2020,33(3):359-362.
|
[25] |
( 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.)
|
[26] |
Kosko B . Hidden Patterns in Combined and Adaptive Knowledge Networks[J]. International Journal of Approximate Reasoning, 1988,2(4):377-393.
|
[27] |
杨钊斌, 陈惠萍, 赖嘉伟 , 等. 片仔癀对糖尿病并脓毒症肝损伤的治疗作用[J]. 糖尿病新世界, 2019,22(19):18-20.
|
[27] |
( 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.)
|
[28] |
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.
|
[29] |
马慧芳, 张迪, 赵卫中 , 等. 基于超图随机游走标签扩充的微博推荐方法[J]. 软件学报, 2019,30(11):3397-3412.
|
[29] |
( Ma Huifang, Zhang Di, Zhao Weizhong , et al. Microblog Recommendation Method Based on Hypergraph Random Walk Tag Extension[J]. Journal of Software, 2019,30(11):3397-3412.)
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