Gaining Insights on Nasopharyngeal Carcinoma Treatment Outcome Using Clinical Data Mining Techniques.
A. Ammar GhaibehAsem KasemXun Jin NgHema Latha Krishna NairJun HiroseVinesh ThiruchelvamPublished in: MIE (2018)
Keyphrases
- data mining techniques
- risk factors
- data mining
- medical practitioners
- medical treatment
- statistical methods
- clinical diagnosis
- real patient data
- cardiovascular disease
- acute myocardial infarction
- lung cancer
- ischemic stroke
- disease progression
- clinical information
- clinical data
- prognostic factors
- historical data
- cancer patients
- lung cancer patients
- clinical studies
- electronic medical record
- therapy planning
- data mining methods
- clinically relevant
- knowledge discovery
- mental health
- data mining algorithms
- association rule mining
- medical doctors
- treatment planning
- patient data
- association rules
- cancer treatment
- data warehouse
- data mining applications
- clinical decision making
- medical care
- actionable knowledge
- data analysis
- physiological processes
- medical data
- small animal
- treatment plan
- evidence based medicine
- intrusion detection
- medical staff
- chronic disease
- breast cancer patients
- clinical practice
- intrusion detection system
- risk management
- cancer cells
- data sources
- mr images