Semantic integration of clinical laboratory tests from electronic health records for deep phenotyping and biomarker discovery.
Xingmin Aaron ZhangAmy YatesNicole A. VasilevskyJean-Philippe F. GourdineTiffany J. CallahanLeigh C. CarmodyDaniel DanisMarcin P. JoachimiakVida RavanmehrEmily R. PfaffJames ChampionKimberly RobaskyHao XuKaramarie FechoNephi A. WaltonRichard L. ZhuJustin RamsdillChristopher J. MungallSebastian KöhlerMelissa A. HaendelClement J. McDonaldDaniel J. VreemanDavid B. PedenTellen D. BennettJames A. FeinsteinBlake MartinAdrianne L. StefanskiLawrence E. HunterChristopher G. ChutePeter N. RobinsonPublished in: npj Digit. Medicine (2019)
Keyphrases
- semantic integration
- electronic health records
- biomarker discovery
- clinical data
- mass spectrometry data
- clinical trials
- medical records
- semantic representation
- high throughput
- medical data
- semantic relationships
- health care
- patient care
- patient data
- heterogeneous data sources
- data sets
- medical knowledge
- mass spectrometry
- statistical analysis
- decision support system
- domain experts
- data sources
- raw data
- health information
- co occurrence
- natural language