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Papers: 10.3390/nu11123045

https://doi.org/10.3390/nu11123045

Nutrient Estimation from 24-Hour Food Recalls Using Machine Learning and Database Mapping: A Case Study with Lactose

Cited by: 20
Author(s): Elizabeth Chin, Gabriel Simmons, Yasmine Bouzid, Annie Kan, D. D. Burnett, Ilias Tagkopoulos, Danielle G. Lemay
Published: over 5 years ago

Software Mentions 7

cran: xgboost
Extreme Gradient Boosting
Papers that mentioned: 207
Very Likely Science (100)
pypi: hyperopt
Distributed Asynchronous Hyperparameter Optimization
Papers that mentioned: 34
Very Likely Science (100)
pypi: IsolationForest
An implementation of the Isolation Forest anomaly detection algorithm.
Papers that mentioned: 1
Very Likely Science (75)
pypi: learn
A simple printer of nested lines
Papers that mentioned: 154
Very Likely Science (65)
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)
pypi: StandardScaler
Standard scale your data
Papers that mentioned: 48
Very Likely Science (65)
pypi: xgboost
XGBoost Python Package
Papers that mentioned: 207
Very Likely Science (90)