A Predictive Analytics Methodology to Assess and Optimize Readmission Risk in Heart Failure Patients.
Pavitra KrishnaswamySavitha RamasamyAbdullah Al-DujailiSrinath SridharanGeraldine GohShao Chuen TongKhin Chaw Yu AungGerard Leong Kui TohMichael Ross MacdonaldSheldon Lee Shao GuangYan CaoSuresh SundaramChow Wai LengPublished in: AAAI Workshops (2018)
Keyphrases
- heart failure
- predictive analytics
- normal subjects
- chronic disease
- health care
- heart disease
- business intelligence
- high risk
- clinical decision support systems
- data mining applications
- clinical data
- exploratory data analysis
- similar problems
- data warehousing
- risk assessment
- predictive model
- risk factors
- cloud computing
- decision making
- information systems
- data mining
- open standards
- end users
- machine learning