Machine Learning

Preferred Label : Machine Learning;

NCIt definition : A computing system (inspired by biological neural networks) that learns (progressively improves its ability) to do tasks by considering examples without task-specific programming. (After DeepAI Machine Learning Glossary and Terms);

Alternative definition : CDISC-GLOSS: A computing system (inspired by biological neural networks) that learns (progressively improves its ability) to do tasks by considering examples without task-specific programming. NOTE: Machine learning algorithms build a mathematical model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. It is a subset of artificial intelligence. [After DeepAI Machine Learning Glossary and Terms] See also deep learning, artificial intelligence (AI).;

Détails

Origin ID

C176231;

UMLS CUI

C0376284;

Automatic exact mappings (from CISMeF team)
- Automated analysis of data to generate new information or predictions on future events [DHI Digital Functionality]
Currated CISMeF NLP mapping
- Machine Learning [EFMI term]
- Machine Learning [MeSH Descriptor]
- Machine Learning [MeSH concept]
- Machine learning [EDAM topic]
Semantic type(s)
- Machine Activity [UMLS semantic type]
UMLS correspondences (same concept)
- Machine Learning [MeSH Descriptor]
- Machine Learning [EFMI term]
- Machine learning [EDAM topic]
concept_is_in_subset
- CDISC Glossary Terminology [NCIt concept]
- Clinical Data Interchange Standards Consortium Terminology [NCIt concept]

Position du mot-clé dans l'(les) arborescence(s) :

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