Computerized decision support and machine learning applications for the prevention and treatment of childhood obesity: A systematic review of the literature.
Andreas TriantafyllidisEleftheria PolychronidouAnastasios AlexiadisCleilton Lima RochaDouglas Nogueira OliveiraAmanda S. da SilvaAnanda Lima FreireCrislanio MacedoIgor Farias SousaEriko WerbetElena Arredondo LilloHenar González LuengoMacarena Torrego EllacuríaKonstantinos VotisDimitrios TzovarasPublished in: Artif. Intell. Medicine (2020)
Keyphrases
- systematic review
- decision support
- machine learning
- empirical studies
- cancer treatment
- decision support system
- therapy planning
- data mining
- clinical decision support systems
- knowledge acquisition
- decision makers
- pattern recognition
- data warehouse
- product configuration
- machine learning methods
- knowledge discovery
- decision making
- text classification
- decision trees
- machine learning algorithms
- computer science
- text mining
- computer vision
- business intelligence
- knowledge management
- learning algorithm
- data warehousing
- artificial intelligence
- public health
- natural language processing
- information extraction
- databases
- inductive logic programming
- learning tasks
- feature selection