Using Natural Language Processing Techniques to Provide Personalized Educational Materials for Chronic Disease Patients in China: Development and Assessment of a Knowledge-Based Health Recommender System
暂无分享,去创建一个
Huilong Duan | Ning Deng | Jiye An | Juan Chen | Zheyu Wang | Haoce Huang | Liping Cui | Huiqing Ge | H. Duan | H. Ge | N. Deng | Jiye An | Zheyu Wang | Juan Chen | Li-jun Cui | Haoce Huang
[1] Min Chen,et al. iDoctor: Personalized and professionalized medical recommendations based on hybrid matrix factorization , 2017, Future Gener. Comput. Syst..
[2] Luis Terán,et al. Health Recommender Systems: A State-of-the-Art Review , 2019, 2019 Sixth International Conference on eDemocracy & eGovernment (ICEDEG).
[3] Andrea Giustina,et al. The role of patient education in the prevention and management of type 2 diabetes: an overview , 2016, Endocrine.
[4] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[5] Jun Zheng,et al. A Hybrid Keyword Extraction Method Based on TF and Semantic Strategies for Chinese Document , 2014 .
[6] Huilong Duan,et al. Patients’ Acceptance of Smartphone Health Technology for Chronic Disease Management: A Theoretical Model and Empirical Test , 2017, JMIR mHealth and uHealth.
[7] Huilong Duan,et al. Using Goal-Directed Design to Create a Mobile Health App to Improve Patient Compliance With Hypertension Self-Management: Development and Deployment , 2020, JMIR mHealth and uHealth.
[8] Deborah A. Greenwood,et al. The eHealth Enhanced Chronic Care Model: A Theory Derivation Approach , 2015, Journal of medical Internet research.
[9] Stacey L. Sheridan,et al. Low Health Literacy and Health Outcomes: An Updated Systematic Review , 2011, Annals of Internal Medicine.
[10] Una Stenberg,et al. A scoping review of the literature on benefits and challenges of participating in patient education programs aimed at promoting self-management for people living with chronic illness. , 2016, Patient education and counseling.
[11] Zhaohua Deng,et al. Health information in the digital age: an empirical study of the perceived benefits and costs of seeking and using health information from online sources. , 2019, Health information and libraries journal.
[12] WangWei,et al. Recommender system application developments , 2015 .
[13] R. Spitzer,et al. The PHQ-9: validity of a brief depression severity measure. , 2001, Journal of general internal medicine.
[14] Rada Mihalcea,et al. TextRank: Bringing Order into Text , 2004, EMNLP.
[15] Sijmen A. Reijneveld,et al. The association between health literacy and self-management abilities in adults aged 75 and older, and its moderators , 2016, Quality of Life Research.
[16] Khin Than Win,et al. Benefits of Online Health Education: Perception from Consumers and Health Professionals , 2015, Journal of Medical Systems.
[17] Liang Zhang,et al. The effect of health literacy and self-management efficacy on the health-related quality of life of hypertensive patients in a western rural area of China: a cross-sectional study , 2017, International Journal for Equity in Health.
[18] Hongfang Liu,et al. Recommending Education Materials for Diabetic Questions Using Information Retrieval Approaches , 2017, AMIA.
[19] Yiming Yang,et al. XLNet: Generalized Autoregressive Pretraining for Language Understanding , 2019, NeurIPS.
[20] Kuo Zhang,et al. Keyword extraction based on tf/idf for Chinese news document , 2007, Wuhan University Journal of Natural Sciences.
[21] Lior Rokach,et al. Introduction to Recommender Systems Handbook , 2011, Recommender Systems Handbook.
[22] Michael J. Pazzani,et al. Content-Based Recommendation Systems , 2007, The Adaptive Web.
[23] Jean-Baptiste Lamy,et al. Owlready: Ontology-oriented programming in Python with automatic classification and high level constructs for biomedical ontologies , 2017, Artif. Intell. Medicine.
[24] Gunasekaran Manogaran,et al. Hybrid Recommendation System for Heart Disease Diagnosis based on Multiple Kernel Learning with Adaptive Neuro-Fuzzy Inference System , 2017, Multimedia Tools and Applications.
[25] Petr Sojka,et al. Software Framework for Topic Modelling with Large Corpora , 2010 .
[26] Robin D. Burke,et al. Hybrid Web Recommender Systems , 2007, The Adaptive Web.
[27] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[28] Wei Wang,et al. Recommender system application developments: A survey , 2015, Decis. Support Syst..
[29] H. Lan,et al. SWRL : A semantic Web rule language combining OWL and ruleML , 2004 .
[30] L. Miller,et al. Online Health Information Seeking , 2012, Journal of aging and health.
[31] Jina Huh,et al. Answers to Health Questions: Internet Search Results Versus Online Health Community Responses , 2016, Journal of medical Internet research.
[32] Zhendong Niu,et al. Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning , 2017, Artificial Intelligence Review.
[33] Karl Pearson F.R.S.. LIII. On lines and planes of closest fit to systems of points in space , 1901 .
[34] B. Ainsworth,et al. International physical activity questionnaire: 12-country reliability and validity. , 2003, Medicine and science in sports and exercise.
[35] H. Hotelling. Analysis of a complex of statistical variables into principal components. , 1933 .
[36] Harri Oinas-Kukkonen,et al. Online Patient Education for Chronic Disease Management: Consumer Perspectives , 2016, Journal of Medical Systems.
[37] Matthieu J. Guitton,et al. Information quality and dynamics of patients' interactions on tonsillectomy web resources , 2016, Internet interventions.
[38] Mario Cannataro,et al. DIETOS: A dietary recommender system for chronic diseases monitoring and management , 2018, Comput. Methods Programs Biomed..
[39] Sarah Dennis,et al. A systematic review of chronic disease management interventions in primary care , 2018, BMC Family Practice.
[40] Martin Wiesner,et al. Health Recommender Systems: Concepts, Requirements, Technical Basics and Challenges , 2014, International journal of environmental research and public health.
[41] Robert Janke,et al. The efficacy of telehealth delivered educational approaches for patients with chronic diseases: A systematic review. , 2018, Patient education and counseling.
[42] Zhaohua Deng,et al. The health information seeking and usage behavior intention of Chinese consumers through mobile phones , 2015, Inf. Technol. People.
[43] Hung-Ming Chen,et al. Design and evaluation of a cloud-based Mobile Health Information Recommendation system on wireless sensor networks , 2016, Comput. Electr. Eng..
[44] N. F. Noy,et al. Ontology Development 101: A Guide to Creating Your First Ontology , 2001 .
[45] Michael Gruninger,et al. Methodology for the Design and Evaluation of Ontologies , 1995, IJCAI 1995.
[46] Jürgen Buder,et al. Learning with personalized recommender systems: A psychological view , 2012, Comput. Hum. Behav..
[47] Gediminas Adomavicius,et al. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.
[48] Meng Zhao,et al. Chinese Document Keyword Extraction Algorithm Based on FP-growth , 2016, 2016 International Conference on Smart City and Systems Engineering (ICSCSE).
[49] F Taketa,et al. Structure of the Felidae hemoglobins and response to 2,3-diphosphoglycerate. , 1973, Comparative biochemistry and physiology. B, Comparative biochemistry.
[50] Qing Zeng-Treitler,et al. Use of topic modeling for recommending relevant education material to diabetic patients. , 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.
[51] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[52] Gerard Salton,et al. Term-Weighting Approaches in Automatic Text Retrieval , 1988, Inf. Process. Manag..
[53] Alejandro Rivero Rodriguez,et al. A health information recommender system: Enriching YouTube health videos with Medline Plus information by the use of SnomedCT terms , 2013, Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems.
[54] Anton Civit,et al. HealthRecSys: A semantic content-based recommender system to complement health videos , 2017, BMC Medical Informatics and Decision Making.
[55] K. Booth,et al. Chronic disease patient education: lessons from meta-analyses. , 2001, Patient education and counseling.
[56] Nor Azan Mat Zin,et al. Ontological Approach in Knowledge Based Recommender System to Develop the Quality of E-learning System , 2012 .
[57] Rafael Valencia-García,et al. RecomMetz: A context-aware knowledge-based mobile recommender system for movie showtimes , 2015, Expert Syst. Appl..
[58] J. Hibbard,et al. Why Does Patient Activation Matter? An Examination of the Relationships Between Patient Activation and Health-Related Outcomes , 2012, Journal of General Internal Medicine.
[59] Elisabeth Beaunoyer,et al. Understanding online health information: Evaluation, tools, and strategies. , 2017, Patient education and counseling.