A machine learning-based severity prediction tool for diabetic sensorimotor polyneuropathy using Michigan neuropathy screening instrumentations.
Fahmida HaqueMamun Bin Ibne ReazMuhammad Enamul Hoque ChowdhuryRayaz MalikMohammed AlhatouSyoji KobashiIffat AraSawal Hamid Md. AliAhmad Ashrif A. BakarGeetika SrivastavaPublished in: CoRR (2022)
Keyphrases
- machine learning
- diabetic patients
- prediction accuracy
- data mining
- computer science
- classifier systems
- natural language processing
- diabetes mellitus
- machine learning methods
- machine learning algorithms
- learning algorithm
- inductive learning
- learning systems
- text classification
- learning classifier systems
- information extraction
- active learning
- pattern recognition
- prediction error
- predictive modeling
- cognitive development
- knowledge acquisition
- software tools
- text mining
- supervised learning
- mobile robot
- long term
- data analysis
- reinforcement learning
- decision trees