Identifying diseases assciated with a high risk for acute kidney injury using a hospital information system database.
Kazunori OtomoTomoaki IshibashiHiromi KataokaYutaka HatakeyamaYoshiyasu OkuharaPublished in: SCIS&ISIS (2012)
Keyphrases
- high risk
- database
- risk factors
- stored data
- hospital information systems
- databases
- database systems
- early detection
- relational databases
- prostate cancer
- metadata
- data model
- data management
- health care
- patient groups
- risk assessment
- statistical methods
- database management systems
- intelligent systems
- decision support system
- information systems