Domain constraints improve risk prediction when outcome data is missing.
Sidhika BalachandarNikhil GargEmma PiersonPublished in: CoRR (2023)
Keyphrases
- data collection
- data sets
- statistical analysis
- data processing
- experimental data
- complex data
- data distribution
- raw data
- missing data
- synthetic data
- data quality
- domain specific
- data points
- data analysis
- prediction error
- historical data
- high quality
- domain experts
- input data
- image data
- sensor data
- prediction accuracy
- high dimensional data
- missing values
- temporal information
- data mining techniques
- knowledge discovery
- probability distribution
- cross domain
- missing information