This paper is in the following e-collection/theme issue:

Public Health Data Visualization and Pattern Recognition (66)

Published on in Vol 5, No 3 (2013):

The Challenge of Big Data in Public Health: An Opportunity for Visual Analytics

The Challenge of Big Data in Public Health: An Opportunity for Visual Analytics

The Challenge of Big Data in Public Health: An Opportunity for Visual Analytics

Authors of this article:

Kamran Sedig1 ;   Oluwakemi Ola1
The full text of this article is available as a PDF download by clicking here.
Article Authors Cited by (31) Tweetations (9) Metrics

Journals

  1. ALTINDİŞ S, KIRAN MORKOÇ İ. Sağlık Hizmetlerinde Büyük Veri. Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 2018;11(2):257 View
  2. Pustokhina I, Pustokhin D, Lydia E, Garg P, Kadian A, Shankar K. Hyperparameter search based convolution neural network with Bi-LSTM model for intrusion detection system in multimedia big data environment. Multimedia Tools and Applications 2022;81(24):34951 View
  3. Shi Y, Chen B, Chen Y, Jin Z, Xu K, Jiao X, Gao T, Cao N. Supporting Guided Exploratory Visual Analysis on Time Series Data with Reinforcement Learning. IEEE Transactions on Visualization and Computer Graphics 2023:1 View
  4. Limaye R, Sullivan T, Dalessandro S, Jenkins A. Looking through a Social Lens: Conceptualising Social Aspects of Knowledge Management for Global Health Practitioners. Journal of Public Health Research 2017;6(1) View
  5. Abdullah S, Rostamzadeh N, Sedig K, Garg A, McArthur E. Visual Analytics for Dimension Reduction and Cluster Analysis of High Dimensional Electronic Health Records. Informatics 2020;7(2):17 View
  6. Rinanda T, Mudatsir M, Raihan R, Sakdiah S. Picturing diphtheria outbreak in Indonesia using national annual report data: what are the lessons learned?. IOP Conference Series: Earth and Environmental Science 2019;364(1):012039 View
  7. Zhang D, Pee L, Pan S, Wang J. Information practices in data analytics for supporting public health surveillance. Journal of the Association for Information Science and Technology 2024;75(1):79 View
  8. Dagliati A, Tibollo V, Sacchi L, Malovini A, Limongelli I, Gabetta M, Napolitano C, Mazzanti A, De Cata P, Chiovato L, Priori S, Bellazzi R. Big Data as a Driver for Clinical Decision Support Systems: A Learning Health Systems Perspective. Frontiers in Digital Humanities 2018;5 View
  9. Rostamzadeh N, Abdullah S, Sedig K, Garg A, McArthur E. VERONICA: Visual Analytics for Identifying Feature Groups in Disease Classification. Information 2021;12(9):344 View
  10. Rostamzadeh N, Abdullah S, Sedig K. Visual Analytics for Electronic Health Records: A Review. Informatics 2021;8(1):12 View
  11. Palanisamy V, Thirunavukarasu R. Implications of big data analytics in developing healthcare frameworks – A review. Journal of King Saud University - Computer and Information Sciences 2019;31(4):415 View
  12. Jalali N, Sahu K, Oetomo A, Morita P. Understanding User Behavior Through the Use of Unsupervised Anomaly Detection: Proof of Concept Using Internet of Things Smart Home Thermostat Data for Improving Public Health Surveillance. JMIR mHealth and uHealth 2020;8(11):e21209 View
  13. Demelo J, Sedig K. Interfaces for Searching and Triaging Large Document Sets: An Ontology-Supported Visual Analytics Approach. Information 2021;13(1):8 View
  14. Gilyarevsky S. Approaches to Assessing the Quality of Observational Studies of Clinical Practice Based on the Big Data Analysis. Rational Pharmacotherapy in Cardiology 2021;17(4):584 View
  15. Bell L, Garnett C, Qian T, Perski O, Williamson E, Potts H. Engagement With a Behavior Change App for Alcohol Reduction: Data Visualization for Longitudinal Observational Study. Journal of Medical Internet Research 2020;22(12):e23369 View
  16. Chishtie J, Marchand J, Turcotte L, Bielska I, Babineau J, Cepoiu-Martin M, Irvine M, Munce S, Abudiab S, Bjelica M, Hossain S, Imran M, Jeji T, Jaglal S. Visual Analytic Tools and Techniques in Population Health and Health Services Research: Scoping Review. Journal of Medical Internet Research 2020;22(12):e17892 View
  17. Chishtie J, Bielska I, Barrera A, Marchand J, Imran M, Tirmizi S, Turcotte L, Munce S, Shepherd J, Senthinathan A, Cepoiu-Martin M, Irvine M, Babineau J, Abudiab S, Bjelica M, Collins C, Craven B, Guilcher S, Jeji T, Naraei P, Jaglal S. Interactive Visualization Applications in Population Health and Health Services Research: Systematic Scoping Review. Journal of Medical Internet Research 2022;24(2):e27534 View
  18. Rostamzadeh N, Abdullah S, Sedig K, Garg A, McArthur E. Visual Analytics for Predicting Disease Outcomes Using Laboratory Test Results. Informatics 2022;9(1):17 View
  19. Keim‐Malpass J, Croson E, Allen M, Deagle C, DeGuzman P. Towards translational health policy: Findings from a state evaluation of programs targeting children with special health care needs. Journal for Specialists in Pediatric Nursing 2019;24(2) View
  20. Zens M, Shajanian Zarneh Y, Dolle J, De Bock F. Digital Public Health – Hebel für Capacity Building in der kommunalen Gesundheitsförderung. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2020;63(6):729 View
  21. Baro E, Degoul S, Beuscart R, Chazard E. Toward a Literature-Driven Definition of Big Data in Healthcare. BioMed Research International 2015;2015:1 View
  22. Edet R, Bolarinwa O. Prospects and Challenges of Population Health with Online and other Big Data in Africa: Understanding the Link to Improving Healthcare Service Delivery. Advanced Journal of Social Science 2019;6(1):57 View
  23. Chishtie J, Babineau J, Bielska I, Cepoiu-Martin M, Irvine M, Koval A, Marchand J, Turcotte L, Jeji T, Jaglal S. Visual Analytic Tools and Techniques in Population Health and Health Services Research: Protocol for a Scoping Review. JMIR Research Protocols 2019;8(10):e14019 View

Books/Policy Documents

  1. Angelini M, Catarci T, Mecella M, Santucci G. Advanced Visual Interfaces. Supporting Big Data Applications. View
  2. Butt Z. Artificial Intelligence, Big Data, Blockchain and 5G for the Digital Transformation of the Healthcare Industry. View
  3. Trivedi N, Anand A, Kumar A, Lilhore U, Tiwari R. Emerging Technologies in Data Mining and Information Security. View
  4. Zhou B, Chen Y, Naumova E. The Landscape of Global Health Inequity. View