Published on 28.01.11 in Vol 13, No 1 (2011): Jan-Mar
Works citing "Review of Extracting Information From the Social Web for Health Personalization"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1432):
(note that this is only a small subset of citations)
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MacLean DL, Heer J. Identifying medical terms in patient-authored text: a crowdsourcing-based approach. Journal of the American Medical Informatics Association 2013;20(6):1120
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Chen C, Huang E, Yan H. Detecting the association of health problems in consumer-level medical text. Journal of Information Science 2018;44(1):3
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. Online Discourse on Fibromyalgia: Text-Mining to Identify Clinical Distinction and Patient Concerns. Medical Science Monitor 2014;20:1858
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Honka A, Kaipainen K, Hietala H, Saranummi N. Rethinking Health: ICT-Enabled Services to Empower People to Manage Their Health. IEEE Reviews in Biomedical Engineering 2011;4:119
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Hadžidedić Baždarević S, Cristea AI. Do personalisation and emotions affect the use of cancer-related websites?. Online Information Review 2017;41(1):102
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Bloem S, Stalpers J, Groenland EAG, van Montfort K, van Raaij WF, de Rooij K. Segmentation of health-care consumers: psychological determinants of subjective health and other person-related variables. BMC Health Services Research 2020;20(1)
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Gopalakrishnan T, Sengottuvelan P, Bharathi A. Dimensionality Reduction for Hybrid Medical Information Opinion Mining. Intelligent Automation & Soft Computing 2017;23(2):331
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Kashiwagi K, Tsukahara S. Impact of Patient Access to Internet Health Records on Glaucoma Medication: Randomized Controlled Trial. Journal of Medical Internet Research 2014;16(1):e15
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Lee YJ, Boden-Albala B, Jia H, Wilcox A, Bakken S. The Association Between Online Health Information–Seeking Behaviors and Health Behaviors Among Hispanics in New York City: A Community-Based Cross-Sectional Study. Journal of Medical Internet Research 2015;17(11):e261
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Amicizia D, Domnich A, Gasparini R, Bragazzi NL, Lai PL, Panatto D. An overview of current and potential use of information and communication technologies for immunization promotion among adolescents. Human vaccines & immunotherapeutics 2013;9(12):2634
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Kennedy CM, Powell J, Payne TH, Ainsworth J, Boyd A, Buchan I. Active Assistance Technology for Health-Related Behavior Change: An Interdisciplinary Review. Journal of Medical Internet Research 2012;14(3):e80
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Yadav S, Ramteke P, Ekbal A, Saha S, Bhattacharyya P. Exploring Disorder-Aware Attention for Clinical Event Extraction. ACM Transactions on Multimedia Computing, Communications, and Applications 2020;16(1s):1
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Hwang M, Park J. Lexical and Phrasal Analysis of Online Discourse of Type 2 Diabetes Patients based on Text-Mining. Journal of Digital Convergence 2014;12(6):655
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Alanazi HO, Zaidan AA, Zaidan BB, Kiah MLM, Al-Bakri SH. Meeting the Security Requirements of Electronic Medical Records in the ERA of High-Speed Computing. Journal of Medical Systems 2015;39(1)
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Chen Y, Huang C, Jan J. The Design of AATIS Emergency Access Authorization for Personally Controlled Online Health Records. Journal of Medical and Biological Engineering 2015;35(6):765
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Ji X, Chun SA, Cappellari P, Geller J. Linking and using social media data for enhancing public health analytics. Journal of Information Science 2017;43(2):221
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Zaidan B, Zaidan A, Mat Kiah M. Impact of Data Privacy and Confidentiality on Developing Telemedicine Applications: A Review Participates Opinion and Expert Concerns. International Journal of Pharmacology 2011;7(3):382
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Scotch M, Baarson B, Beard R, Lauder R, Varman A, Halden RU. Examining the Differences in Format and Characteristics of Zoonotic Virus Surveillance Data on State Agency Websites. Journal of Medical Internet Research 2013;15(4):e90
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Carrión Señor I, Fernández-Alemán JL, Toval A. Are Personal Health Records Safe? A Review of Free Web-Accessible Personal Health Record Privacy Policies. Journal of Medical Internet Research 2012;14(4):e114
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Vasconcellos-Silva PR, Carvalho D, Lucena C. Word Frequency and Content Analysis Approach to Identify Demand Patterns in a Virtual Community of Carriers of Hepatitis C. interactive Journal of Medical Research 2013;2(2):e12
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Fiske A, Prainsack B, Buyx A. Data Work: Meaning-Making in the Era of Data-Rich Medicine. Journal of Medical Internet Research 2019;21(7):e11672
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Rajput AR, Li Q, Taleby Ahvanooey M, Masood I. EACMS: Emergency Access Control Management System for Personal Health Record Based on Blockchain. IEEE Access 2019;7:84304
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Kotsilieris T, Pavlaki A, Christopoulou S, Anagnostopoulos I. The impact of social networks on health care. Social Network Analysis and Mining 2017;7(1)
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Bellazzi R, Diomidous M, Sarkar IN, Takabayashi K, Ziegler A, McCray AT. Data Analysis and Data Mining: Current Issues in Biomedical Informatics. Methods of Information in Medicine 2011;50(06):536
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Batch Y, Yusof MM, Noah SA. ICDTag: A Prototype for a Web-Based System for Organizing Physician-Written Blog Posts Using a Hybrid Taxonomy-Folksonomy Approach. Journal of Medical Internet Research 2013;15(2):e41
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Rajput AR, Li Q, Ahvanooey MT. A Blockchain-Based Secret-Data Sharing Framework for Personal Health Records in Emergency Condition. Healthcare 2021;9(2):206
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.1432):
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Mayer M, Fernández-Luque L, Leis A. Participatory Health Through Social Media. 2016. :67
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Liu J, Cao Z, Zeng D. Web-Age Information Management. 2014. Chapter 1:3
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Demchuk A, Lytvyn V, Vysotska V, Dilai M. Lecture Notes in Computational Intelligence and Decision Making. 2020. Chapter 24:332
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Premarathne US, Han F, Liu H, Khalil I. Mobile Health. 2015. Chapter 45:1089
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