Prediction of muscular paralysis disease based on hybrid feature extraction with machine learning technique for COVID-19 and post-COVID-19 patients.
Prabu SubramaniSrinivas KondaKavitha Rani BalmuriSujatha RajkumarParameshachari Bidare DivakarachariPublished in: Pers. Ubiquitous Comput. (2023)
Keyphrases
- machine learning
- feature extraction
- medical doctors
- multiple sclerosis
- patient groups
- blood pressure
- prediction accuracy
- pattern recognition
- feature selection
- cardiovascular disease
- pattern classification
- machine learning algorithms
- early diagnosis
- diagnostic tool
- chronic disease
- outcome prediction
- outbreak detection
- amyotrophic lateral sclerosis
- machine learning methods
- clinical studies
- preprocessing
- data mining
- decision trees
- emergency department
- clinically relevant
- feature vectors
- information extraction
- disease progression
- disease diagnosis
- image processing
- principal component analysis
- chronic obstructive pulmonary disease
- predictive modeling
- patient data
- cancer patients
- liver disease
- diabetic patients
- face recognition
- medical data
- magnetic resonance images
- learning algorithm
- medical practice
- clinical data
- risk factors
- infectious disease
- support vector machine