A Model for Predicting the Amount of Urine in the Bladder Based on App-generated Tracking Data.
Pascal FechnerJannik LocklNicolas RuhlandTristan ZürlTill ZwedePublished in: BIBM (2020)
Keyphrases
- subject specific
- data collection
- experimental data
- data analysis
- prior knowledge
- data processing
- input data
- simulation data
- statistical methods
- test data
- mathematical model
- database
- probability distribution
- data sets
- learning models
- data sources
- data points
- measured data
- data quality
- raw data
- kalman filter
- training data
- data structure
- computational model
- markov random field
- image data
- knowledge discovery
- sensor data
- objective function
- missing data
- high level
- probabilistic model
- end users
- learning algorithm