Cargando…
A Novel Disease Outbreak Prediction Model for Compact Spatial-Temporal Environments
One of the popular research areas in clinical decision supporting system (CDSS) is Spatial and temporal (ST) data mining. The basic concept of ST concerns about two combined dimensions of analyzing: time and space. For prediction of disease outbreak, we attempt to locate any potential uninfected by...
Autores principales: | Lao, Kam Kin, Deb, Suash, Thampi, Sabu M., Fong, Simon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7124008/ http://dx.doi.org/10.1007/978-3-319-04960-1_39 |
Ejemplares similares
-
Gaussian Guided Self-Adaptive Wolf Search Algorithm Based on Information Entropy Theory
por: Song, Qun, et al.
Publicado: (2018) -
Towards Enhancement of Performance of K-Means Clustering Using Nature-Inspired Optimization Algorithms
por: Fong, Simon, et al.
Publicado: (2014) -
Temporal and Spatial Monitoring and Prediction of Epidemic Outbreaks
Publicado: (2015) -
Intraoperative neurocytology of primary central nervous system neoplasia: A simplified and practical diagnostic approach
por: Sharma, Suash, et al.
Publicado: (2011) -
Intelligent distributed computing
por: Buyya, Rajkumar, et al.
Publicado: (2015)