Identification of predictive factors of the degree of adherence to the Mediterranean diet through machine-learning techniques.
Alba Arceo-VilasCarlos Fernandez-LozanoSalvador PitaSonia Pértega DíazAlejandro PazosPublished in: PeerJ Comput. Sci. (2020)
Keyphrases
- machine learning
- factors affecting
- factors influencing
- machine learning algorithms
- neural network
- factors that influence
- previously identified
- factors that affect
- decision trees
- statistical methods
- search engine
- artificial intelligence
- automatic identification
- data mining
- databases
- mass spectrometry
- person identification
- main factors
- identification rate
- database