Published on in Vol 13, No 1 (2011): Jan-Mar

Review of Extracting Information From the Social Web for Health Personalization

Review of Extracting Information From the Social Web for Health Personalization

Review of Extracting Information From the Social Web for Health Personalization

Journals

  1. MacLean D, Heer J. Identifying medical terms in patient-authored text: a crowdsourcing-based approach. Journal of the American Medical Informatics Association 2013;20(6):1120 View
  2. 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 View
  3. Ryu Y. Online Discourse on Fibromyalgia: Text-Mining to Identify Clinical Distinction and Patient Concerns. Medical Science Monitor 2014;20:1858 View
  4. 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 View
  5. Hadžidedić Baždarević S, Cristea A. Do personalisation and emotions affect the use of cancer-related websites?. Online Information Review 2017;41(1):102 View
  6. Bloem S, Stalpers J, Groenland E, van Montfort K, van Raaij W, 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) View
  7. Gopalakrishnan T, Sengottuvelan P, Bharathi A. Dimensionality Reduction for Hybrid Medical Information Opinion Mining. Intelligent Automation & Soft Computing 2017;23(2):331 View
  8. 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 View
  9. Lee Y, 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 View
  10. Amicizia D, Domnich A, Gasparini R, Bragazzi N, Lai P, 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 View
  11. Kennedy C, Powell J, Payne T, 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 View
  12. 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 View
  13. 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 View
  14. Alanazi H, Zaidan A, Zaidan B, Kiah M, Al-Bakri S. Meeting the Security Requirements of Electronic Medical Records in the ERA of High-Speed Computing. Journal of Medical Systems 2015;39(1) View
  15. 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 View
  16. Ji X, Chun S, Cappellari P, Geller J. Linking and using social media data for enhancing public health analytics. Journal of Information Science 2017;43(2):221 View
  17. 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 View
  18. Scotch M, Baarson B, Beard R, Lauder R, Varman A, Halden R. 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 View
  19. Carrión Señor I, Fernández-Alemán J, 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 View
  20. Vasconcellos-Silva P, 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 View
  21. 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 View
  22. Rajput A, 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 View
  23. Kotsilieris T, Pavlaki A, Christopoulou S, Anagnostopoulos I. The impact of social networks on health care. Social Network Analysis and Mining 2017;7(1) View
  24. Bellazzi R, Diomidous M, Sarkar I, Takabayashi K, Ziegler A, McCray A. Data Analysis and Data Mining: Current Issues in Biomedical Informatics. Methods of Information in Medicine 2011;50(06):536 View
  25. Batch Y, Yusof M, Noah S. 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 View
  26. Rajput A, Li Q, Ahvanooey M. A Blockchain-Based Secret-Data Sharing Framework for Personal Health Records in Emergency Condition. Healthcare 2021;9(2):206 View

Books/Policy Documents

  1. Mayer M, Fernández-Luque L, Leis A. Participatory Health Through Social Media. View
  2. Liu J, Cao Z, Zeng D. Web-Age Information Management. View
  3. Demchuk A, Lytvyn V, Vysotska V, Dilai M. Lecture Notes in Computational Intelligence and Decision Making. View