Mitigating underreported error in food frequency questionnaire data using a supervised machine learning method and error adjustment algorithm.
Anjolaoluwa Ayomide PopoolaJennifer Koren FredianiTerryl Johnson HartmanKamran PaynabarPublished in: BMC Medical Informatics Decis. Mak. (2023)
Keyphrases
- input data
- noisy data
- cost function
- detection algorithm
- error function
- synthetic data
- prediction error
- dynamic programming
- preprocessing
- error rate
- computational complexity
- hypothesis tests
- segmentation method
- k means
- objective function
- data sets
- error accumulation
- average error
- clustering method
- segmentation algorithm
- probabilistic model
- supervised machine learning
- learning algorithm
- similarity measure
- error tolerance
- missing data
- data analysis
- high quality
- training data
- machine learning
- expectation maximization
- pairwise
- ground truth