DMSense: A non-invasive Diabetes Mellitus Classification System using Photoplethysmogram signal.
V. Ramu ReddyAnirban Dutta ChoudhuryParijat DeshpandeSrinivasan JayaramanNaveen Kumar ThokalaVenkatesh KaliaperumalPublished in: PerCom Workshops (2017)
Keyphrases
- diabetes mellitus
- decision trees
- classification accuracy
- classification algorithm
- feature selection
- rough sets
- support vector machine
- pattern recognition
- feature extraction
- text classification
- support vector machine svm
- machine learning
- feature vectors
- data analysis
- image classification
- intrusion detection
- case study
- diabetic patients