Machine Learning based histology phenotyping to investigate the epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits.
Craig A. GlastonburySara L. PulitJulius HoneckerJenny C. CensinSamantha LaberHanieh YaghootkarNilufer RahmiogluEmilie PastelKaterina KosAndrew PittMichelle HudsonChristoffer NellåkerNicola L. BeerHans HaunerChristian M. BeckerKrina T. ZondervanTimothy M. FraylingMelina ClaussnitzerCecilia M. LindgrenPublished in: PLoS Comput. Biol. (2020)
Keyphrases
- machine learning
- machine learning methods
- decision trees
- starting point
- pattern recognition
- databases
- computer science
- inductive logic programming
- real time
- learning systems
- information extraction
- inductive learning
- machine learning approaches
- machine learning and data mining
- learning algorithm
- genetic algorithm
- data mining
- neural network
- explanation based learning
- human genome
- supervised machine learning
- machine learning algorithms
- semi supervised learning
- knowledge acquisition
- supervised learning
- reinforcement learning
- website
- image processing
- e learning
- artificial intelligence
- real world
- data sets