Cite Article
Cite Article
MLA
Segall, Richard S., and Soichiro Takashashi. "Data Visualization of Big Data for Predictive and Descriptive Analytics for Stroke, COVID-19, and Diabetes." IJBDAH vol.8, no.1 2023: pp.1-31. http://doi.org/10.4018/IJBDAH.331996
APA
Segall, R. S. & Takashashi, S. (2023). Data Visualization of Big Data for Predictive and Descriptive Analytics for Stroke, COVID-19, and Diabetes. International Journal of Big Data and Analytics in Healthcare (IJBDAH), 8 (1), 1-31. http://doi.org/10.4018/IJBDAH.331996
Chicago
Segall, Richard S., and Soichiro Takashashi. "Data Visualization of Big Data for Predictive and Descriptive Analytics for Stroke, COVID-19, and Diabetes," International Journal of Big Data and Analytics in Healthcare (IJBDAH) 8, no.1: 1-31. http://doi.org/10.4018/IJBDAH.331996
Export Reference
International Journal of Big Data and Analytics in Healthcare (IJBDAH) The
International Journal of Big Data and Analytics in Healthcare (IJBDAH) publishes high-quality, scholarly research papers, position papers, and case studies covering: hardware platforms and architectures, development of software methods, techniques and tools, applications and governance and adoption strategies for the use of big data in healthcare and clinical research.The journal has a special focus on new research challenges for informatics arising from the development of longitudinal environmental risk data processing methods (the individual exposome or partial expotypes), including those obtained from personal sensors and devices, clinical records and population/geospatial data. Focusing on key issues, practical applications, and theoretical perspectives, this journal presents research essential to the needs of big data professionals, IT specialists, computer scientists, healthcare analysts, clinical practitioners, and administrators.
View source title