Advances in the Decision Making for Treatments of Chronic Patients Using Fuzzy Logic and Data Mining Techniques.
M. Domínguez-MuñozJ. ArobaJosé Gonzalez EnríquezIsabel M. RamosJ. M. Lucena-SotoMaría José EscalonaPublished in: ICEIS (1) (2014)
Keyphrases
- data mining techniques
- decision making
- data mining
- heart failure
- clinical trials
- chronic disease
- decision makers
- decision support system
- historical data
- medical practice
- association rules
- association rule mining
- data mining applications
- knowledge discovery
- health care
- fuzzy logic
- normal subjects
- data mining methods
- decision process
- clinical decision support systems
- data mining systems
- patient data
- health care professionals
- artificial intelligence
- cancer patients
- intensive care
- medical knowledge
- clinical practice
- clinical data
- medical data
- information processing
- recent advances
- medical decision making
- intrusion detection
- health care providers
- medical doctors
- information retrieval
- business intelligence
- domain specific
- data mining tools
- data mining algorithms
- intrusion detection system
- database
- data warehouse
- data mining technology
- decision support