A hybrid two-stage SqueezeNet and support vector machine system for Parkinson's disease detection based on handwritten spiral patterns.
Lucas S. BernardoRobertas DamaseviciusVictor Hugo C. de AlbuquerqueRytis MaskeliunasPublished in: Int. J. Appl. Math. Comput. Sci. (2021)
Keyphrases
- support vector machine
- disease outbreaks
- outbreak detection
- detection algorithm
- automatic detection
- svm classifier
- character recognition
- disease surveillance
- pattern detection
- false alarms
- object detection
- detection rate
- kernel methods
- pattern discovery
- pattern mining
- data mining techniques
- disease diagnosis
- multi class
- sequential patterns
- scan statistic
- training set