慢性病健康教育知识服务系统模型构建研究
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摘要
【目的/意义】在国家推进健康医疗信息化建设和大力发展人工智能的背景下,借助于信息技术和人工智能等技术为患者提供个性化、智能化的慢性病健康教育知识服务,让患者便捷有效地获取慢性病健康知识,从而帮助和指导慢性病患者进行自我管理。【方法/过程】文章分析了慢性病健康教育知识服务系统的需求,梳理了国内外将信息技术和人工智能等技术应用于健康教育的研究现状,阐述了将本体技术应用于医疗健康领域的知识表示和知识组织中的优越性。【结果/结论】将人工智能、自然语言处理等技术应用于慢性病健康教育知识服务系统中,构建了包含知识采集模块、知识组织模块和知识服务模块的慢性病健康教育知识服务系统模型,最后手工构建了一个慢性病健康教育本体知识库,并在此基础上进行了推理实验。
【Purpose/significance】Under the background of promoting the construction of health medical information and vigorously developing artificial intelligence in our country, we provide personalized and intelligent chronic health education knowledge services to patients through information technology and artificial intelligence technologies, so that patients can get access to chronic disease health knowledge easily and effectively, helping and guiding patients with chronic diseases in self-management.【Method/process】This paper analyzes the demand of chronic health education knowledge service system,combs the domestic and international research status of using information technology and artificial intelligence technology in health education, expounds the superiority of the application of ontology technology in knowledge representation and knowledge organization in medical health field.【Result/conclusion】The technology of artificial intelligence and natural language processing is applied to chronic health education knowledge service system, and a model of chronic health education knowledge service is constructed, which includes knowledge acquisition module, knowledge organization module and knowledge service module. Finally, an ontology knowledge base of chronic diseases health education is constructed by hand, and on this basis, inference experiments are carried out.
【Purpose/significance】Under the background of promoting the construction of health medical information and vigorously developing artificial intelligence in our country, we provide personalized and intelligent chronic health education knowledge services to patients through information technology and artificial intelligence technologies, so that patients can get access to chronic disease health knowledge easily and effectively, helping and guiding patients with chronic diseases in self-management.【Method/process】This paper analyzes the demand of chronic health education knowledge service system,combs the domestic and international research status of using information technology and artificial intelligence technology in health education, expounds the superiority of the application of ontology technology in knowledge representation and knowledge organization in medical health field.【Result/conclusion】The technology of artificial intelligence and natural language processing is applied to chronic health education knowledge service system, and a model of chronic health education knowledge service is constructed, which includes knowledge acquisition module, knowledge organization module and knowledge service module. Finally, an ontology knowledge base of chronic diseases health education is constructed by hand, and on this basis, inference experiments are carried out.
引文
1李鹏,杨文秀.慢性病现状流行趋势国际比较及应对策略[J].天津医药, 2009, 37(4):254-257.
2 中华人民共和国国家卫生和计划生育委员会.《中国疾病预防控制工作进展(2015年)》[EB/OL].http://www.nhfpc.gov.cn/xcs/s3574/201504/03729279b0dd47e282500 f8c22f2cfbb.shtml,2015-04-10.
3 杨秀娟,祝成红,王永利,等.健康教育在慢性疾病管理中的应用现状[J].中国医药导报, 2013, 10(9):165-166.
4 韩丽君,赵春艳,屠庆.高血压健康教育模式的研究进展[J].中华现代护理杂志, 2013, 19(24):3022-3023.
5 吴俊,张永健,张蕾.网络教育在社区糖尿病患者健康教育中的应用[J].现代临床护理, 2015, 14(3):43-46.
6 戴菲菲,刘玉秀,苏义,等.网络环境下运动健康信息获取和医疗服务利用调查研究[J].医学研究生学报, 2014,27(5):517-520.
7 王美琴,吴庆斌.基于本体的医学知识库构建方法综述[J].医学信息学杂志, 2017, 38(3):73-76.
8 张兴厅,雷健波.公众健康知识库研究综述[J].中国卫生信息管理杂志, 2017, 14(3):413-417.
9 Wang D, Cunningham R, Boom J, et al. Towards a HPV Vaccine Knowledgebase for Patient Education Content[[J]. Studies in Health Technology&Informatics, 2016,(225):432-436.
10 Win K T, Hassan N M, Bonney A, et al. Benefits of online health education:perception from consumers and health professionals[J]. Journal of Medical Systems, 2015, 39(3):27.
11 Lasierra N, Alesanco A, Guillén S, et al. A three stage ontology-driven solution to provide personalized care to chronic patients at home[J]. Journal of Biomedical Informatics,2013, 46(3):516-529.
12 Velikova M, Lucas P J F, Heijden M V D. Intelligent Disease Self-Management with Mobile Technology[J]. Computer, 2015, 48(2):32-39.
13 Montagna S, Omicini A. Agent-based modeling for the self-management of chronic diseases:An exploratory study[J]. Simulation Transactions of the Society for Modeling&Simulation International, 2017, 93(9):1-13.
14 Chen R C, Huang C Y, Ting Y H, et al. A Chronic Disease Diet Recommendation System Based on Domain Ontology and Decision Tree[J]. Journal of advanced computational intelligence and intelligent informatics, 2017, 21(3):474-482.
15 Chi Y L, Chen T Y, Tsai W T. A chronic disease dietary consultation system using OWL-based ontologies and semantic rules[J]. Journal of Biomedical Informatics, 2015, 53(C):208-219.
16 Tseng K J, Liou T H, Chiu H W. Development of a computer-aided clinical patient education system to provide appropriate individual nursing care for psychiatric patients[J].Journal of Medical Systems, 2012, 36(3):1373-1379.
17 Huang J, Chen C, Pai T, et al. Directed acyclic graphbased patient education system for cardiovascular patients in taiwan[J]. Journal of Mechanics in Medicine&Biology,2016,16(3):1-14.
18 Chen Y, Hsu C Y, Liu L, et al. Constructing a nutrition diagnosis expert system[J]. Expert Systems with Applications,2012, 39(2):2132-2156.
19 Sherimon P C, Vinu P V, Krishnan R, et al. Ontology Based System Architecture to Predict the Risk of Hypertension in Related Diseases[J]. International Journal of Information Processing&Management, 2013, 4(4):44-50.
20 Cao F, Sun X, Wang X, et al. Ontology-based knowledge management for personalized adverse drug events detection[J]. Studies in Health Technology&Informatics, 2011,(169):699-703.
21 Kozaki K, Yamagata Y, Mizoguchi R, et al. Disease Compass-a navigation system for disease knowledge based on ontology and linked data techniques[J]. Journal of Biomedical Semantics, 2017, 8(1):1-18.
2 中华人民共和国国家卫生和计划生育委员会.《中国疾病预防控制工作进展(2015年)》[EB/OL].http://www.nhfpc.gov.cn/xcs/s3574/201504/03729279b0dd47e282500 f8c22f2cfbb.shtml,2015-04-10.
3 杨秀娟,祝成红,王永利,等.健康教育在慢性疾病管理中的应用现状[J].中国医药导报, 2013, 10(9):165-166.
4 韩丽君,赵春艳,屠庆.高血压健康教育模式的研究进展[J].中华现代护理杂志, 2013, 19(24):3022-3023.
5 吴俊,张永健,张蕾.网络教育在社区糖尿病患者健康教育中的应用[J].现代临床护理, 2015, 14(3):43-46.
6 戴菲菲,刘玉秀,苏义,等.网络环境下运动健康信息获取和医疗服务利用调查研究[J].医学研究生学报, 2014,27(5):517-520.
7 王美琴,吴庆斌.基于本体的医学知识库构建方法综述[J].医学信息学杂志, 2017, 38(3):73-76.
8 张兴厅,雷健波.公众健康知识库研究综述[J].中国卫生信息管理杂志, 2017, 14(3):413-417.
9 Wang D, Cunningham R, Boom J, et al. Towards a HPV Vaccine Knowledgebase for Patient Education Content[[J]. Studies in Health Technology&Informatics, 2016,(225):432-436.
10 Win K T, Hassan N M, Bonney A, et al. Benefits of online health education:perception from consumers and health professionals[J]. Journal of Medical Systems, 2015, 39(3):27.
11 Lasierra N, Alesanco A, Guillén S, et al. A three stage ontology-driven solution to provide personalized care to chronic patients at home[J]. Journal of Biomedical Informatics,2013, 46(3):516-529.
12 Velikova M, Lucas P J F, Heijden M V D. Intelligent Disease Self-Management with Mobile Technology[J]. Computer, 2015, 48(2):32-39.
13 Montagna S, Omicini A. Agent-based modeling for the self-management of chronic diseases:An exploratory study[J]. Simulation Transactions of the Society for Modeling&Simulation International, 2017, 93(9):1-13.
14 Chen R C, Huang C Y, Ting Y H, et al. A Chronic Disease Diet Recommendation System Based on Domain Ontology and Decision Tree[J]. Journal of advanced computational intelligence and intelligent informatics, 2017, 21(3):474-482.
15 Chi Y L, Chen T Y, Tsai W T. A chronic disease dietary consultation system using OWL-based ontologies and semantic rules[J]. Journal of Biomedical Informatics, 2015, 53(C):208-219.
16 Tseng K J, Liou T H, Chiu H W. Development of a computer-aided clinical patient education system to provide appropriate individual nursing care for psychiatric patients[J].Journal of Medical Systems, 2012, 36(3):1373-1379.
17 Huang J, Chen C, Pai T, et al. Directed acyclic graphbased patient education system for cardiovascular patients in taiwan[J]. Journal of Mechanics in Medicine&Biology,2016,16(3):1-14.
18 Chen Y, Hsu C Y, Liu L, et al. Constructing a nutrition diagnosis expert system[J]. Expert Systems with Applications,2012, 39(2):2132-2156.
19 Sherimon P C, Vinu P V, Krishnan R, et al. Ontology Based System Architecture to Predict the Risk of Hypertension in Related Diseases[J]. International Journal of Information Processing&Management, 2013, 4(4):44-50.
20 Cao F, Sun X, Wang X, et al. Ontology-based knowledge management for personalized adverse drug events detection[J]. Studies in Health Technology&Informatics, 2011,(169):699-703.
21 Kozaki K, Yamagata Y, Mizoguchi R, et al. Disease Compass-a navigation system for disease knowledge based on ontology and linked data techniques[J]. Journal of Biomedical Semantics, 2017, 8(1):1-18.