Development and application of a high throughput natural language processing architecture to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies.
Majid AfsharDmitriy DligachBrihat SharmaXiaoyuan CaiJason BoydaSteven BirchDaniel ValdezSuzan ZeliskoCara JoyceFrançois ModaveRon PricePublished in: J. Am. Medical Informatics Assoc. (2019)
Keyphrases
- data warehouse
- high throughput
- decision support
- patient records
- natural language processing
- free text
- multidimensional analysis
- data warehousing
- data marts
- genome wide
- microarray
- biological data
- decision support system
- business intelligence
- data warehouse design
- data integration
- data sources
- databases
- data cube
- metadata
- requirement analysis
- data mining
- information extraction
- proteomic data
- data analysis
- real time
- genomic data
- clinical practice
- clinical setting
- data acquisition
- high throughput technologies
- data management
- mass spectrometry data
- automated image analysis
- data analysis and data mining
- olap queries
- multidimensional data
- textual data
- materialized views
- real world
- online analytical processing
- structured data
- data collection
- data mining techniques
- sensor networks
- data sets