Hidden Markov Model

Preferred Label : Hidden Markov Model;

NCIt synonyms : HMM;

CISMeF acronym : HMM;

NCIt definition : A statistical model in which the system being modeled has unknown parameters, but the hidden parameters can be determined from the observable parameters. While the state is not directly visible, the variables influenced by the state are visible. Each state has a probability distribution over the possible output tokens. Therefore the sequence of tokens generated by a Hidden Markov Model (HMM) gives some information about the sequence of states.;

Details

Origin ID

C75940;

UMLS CUI

C2697586;

Automatic exact mappings (from CISMeF team)
- Hidden Markov model [EDAM data]
- heavy meromyosin [MeSH concept]
- myosin subfragments [MeSH Descriptor]
Currated CISMeF NLP mapping
- Hidden Markov Models [MeSH Descriptor]
False automatic mappings
- Hamamy syndrome [OMIM Phenotype]
Semantic type(s)
- Machine Activity [UMLS semantic type]
- Research Activity [UMLS semantic type]
UMLS correspondences (same concept)
- Hidden Markov Models [MeSH Descriptor]

Keyword's position in hierarchy(ies) :

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