ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT Investigative Techniques [E05] Investigative Techniques Epidemiologic Methods [E05.318] Epidemiologic Methods Statistics as Topic [E05.318.740] Statistics as Topic Probability [E05.318.740.600] Probability Bayes Theorem [E05.318.740.600.200] Bayes Theorem Hidden Markov Models [E05.318.740.600.300] Hidden Markov Models Likelihood Functions [E05.318.740.600.400] Likelihood Functions Markov Chains [E05.318.740.600.500] Markov Chains Odds Ratio [E05.318.740.600.600] Odds Ratio Position-Specific Scoring Matrices [E05.318.740.600.650] Position-Specific Scoring Matrices Propensity Score [E05.318.740.600.675] Propensity Score Proportional Hazards Models [E05.318.740.600.700] Proportional Hazards Models Risk [E05.318.740.600.800] Risk Uncertainty [E05.318.740.600.900] Uncertainty ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT Investigative Techniques [E05] Investigative Techniques Epidemiologic Methods [E05.318] Epidemiologic Methods Statistics as Topic [E05.318.740] Statistics as Topic Stochastic Processes [E05.318.740.996] Stochastic Processes Hidden Markov Models [E05.318.740.996.250] Hidden Markov Models Markov Chains [E05.318.740.996.500] Markov Chains PHENOMENA AND PROCESSES Mathematical Concepts [G17] Mathematical Concepts Algorithms [G17.035] Algorithms Adaptive Algorithms [G17.035.125] Adaptive Algorithms Artificial Intelligence [G17.035.250] Artificial Intelligence Autoencoder [G17.035.297] Autoencoder Backtracking Algorithms [G17.035.344] Backtracking Algorithms Boosting Machine Learning Algorithms [G17.035.438] Boosting Machine Learning Algorithms Classification Algorithms [G17.035.485] Classification Algorithms Clustering Algorithms [G17.035.509] Clustering Algorithms Compression Algorithms [G17.035.521] Compression Algorithms Detection Algorithms [G17.035.527] Detection Algorithms Dimensionality Reduction [G17.035.532] Dimensionality Reduction Dynamic Programming [G17.035.556] Dynamic Programming Generative Adversarial Networks [G17.035.579] Generative Adversarial Networks Genetic Algorithms [G17.035.602] Genetic Algorithms Hidden Markov Models [G17.035.614] Hidden Markov Models Latent Class Analysis [G17.035.625] Latent Class Analysis Machine Learning Algorithms [G17.035.672] Machine Learning Algorithms Multiple-Instance Learning Algorithms [G17.035.684] Multiple-Instance Learning Algorithms Parallel Algorithms [G17.035.696] Parallel Algorithms Particle Swarm Optimization [G17.035.719] Particle Swarm Optimization Prediction Algorithms [G17.035.766] Prediction Algorithms PHENOMENA AND PROCESSES Mathematical Concepts [G17] Mathematical Concepts Stochastic Processes [G17.830] Stochastic Processes Hidden Markov Models [G17.830.250] Hidden Markov Models Markov Chains [G17.830.500] Markov Chains INFORMATION SCIENCE Information Science [L01] Information Science Computing Methodologies [L01.224] Computing Methodologies Algorithms [L01.224.050] Algorithms Adaptive Algorithms [L01.224.050.188] Adaptive Algorithms Artificial Intelligence [L01.224.050.375] Artificial Intelligence Autoencoder [L01.224.050.395] Autoencoder Backtracking Algorithms [L01.224.050.414] Backtracking Algorithms Boosting Machine Learning Algorithms [L01.224.050.453] Boosting Machine Learning Algorithms Cellular Automata [L01.224.050.531] Cellular Automata Classification Algorithms [L01.224.050.570] Classification Algorithms Clustering Algorithms [L01.224.050.590] Clustering Algorithms Compression Algorithms [L01.224.050.600] Compression Algorithms Detection Algorithms [L01.224.050.605] Detection Algorithms Dimensionality Reduction [L01.224.050.609] Dimensionality Reduction Dynamic Programming [L01.224.050.629] Dynamic Programming Generative Adversarial Networks [L01.224.050.648] Generative Adversarial Networks Genetic Algorithms [L01.224.050.668] Genetic Algorithms Hidden Markov Models [L01.224.050.678] Hidden Markov Models Latent Class Analysis [L01.224.050.687] Latent Class Analysis Machine Learning Algorithms [L01.224.050.726] Machine Learning Algorithms Multiple-Instance Learning Algorithms [L01.224.050.736] Multiple-Instance Learning Algorithms Parallel Algorithms [L01.224.050.746] Parallel Algorithms Particle Swarm Optimization [L01.224.050.765] Particle Swarm Optimization Prediction Algorithms [L01.224.050.804] Prediction Algorithms HEALTH CARE Health Care Quality, Access, and Evaluation [N05] Health Care Quality, Access, and Evaluation Quality of Health Care [N05.715] Quality of Health Care Health Care Evaluation Mechanisms [N05.715.360] Health Care Evaluation Mechanisms Statistics as Topic [N05.715.360.750] Statistics as Topic Probability [N05.715.360.750.625] Probability Bayes Theorem [N05.715.360.750.625.150] Bayes Theorem Hidden Markov Models [N05.715.360.750.625.300] Hidden Markov Models Likelihood Functions [N05.715.360.750.625.450] Likelihood Functions Markov Chains [N05.715.360.750.625.500] Markov Chains Odds Ratio [N05.715.360.750.625.590] Odds Ratio Propensity Score [N05.715.360.750.625.620] Propensity Score Proportional Hazards Models [N05.715.360.750.625.650] Proportional Hazards Models Risk [N05.715.360.750.625.700] Risk Uncertainty [N05.715.360.750.625.850] Uncertainty HEALTH CARE Health Care Quality, Access, and Evaluation [N05] Health Care Quality, Access, and Evaluation Quality of Health Care [N05.715] Quality of Health Care Health Care Evaluation Mechanisms [N05.715.360] Health Care Evaluation Mechanisms Statistics as Topic [N05.715.360.750] Statistics as Topic Stochastic Processes [N05.715.360.750.770] Stochastic Processes Hidden Markov Models [N05.715.360.750.770.250] Hidden Markov Models Markov Chains [N05.715.360.750.770.500] Markov Chains HEALTH CARE Environment and Public Health [N06] Environment and Public Health Public Health [N06.850] Public Health Epidemiologic Methods [N06.850.520] Epidemiologic Methods Statistics as Topic [N06.850.520.830] Statistics as Topic Probability [N06.850.520.830.600] Probability Bayes Theorem [N06.850.520.830.600.200] Bayes Theorem Hidden Markov Models [N06.850.520.830.600.300] Hidden Markov Models Likelihood Functions [N06.850.520.830.600.400] Likelihood Functions Markov Chains [N06.850.520.830.600.500] Markov Chains Odds Ratio [N06.850.520.830.600.600] Odds Ratio Propensity Score [N06.850.520.830.600.650] Propensity Score Proportional Hazards Models [N06.850.520.830.600.700] Proportional Hazards Models Risk [N06.850.520.830.600.800] Risk Uncertainty [N06.850.520.830.600.900] Uncertainty HEALTH CARE Environment and Public Health [N06] Environment and Public Health Public Health [N06.850] Public Health Epidemiologic Methods [N06.850.520] Epidemiologic Methods Statistics as Topic [N06.850.520.830] Statistics as Topic Stochastic Processes [N06.850.520.830.996] Stochastic Processes Hidden Markov Models [N06.850.520.830.996.250] Hidden Markov Models Markov Chains [N06.850.520.830.996.500] Markov Chains

Hidden Markov Models - Preferred

Concept UI	M000766686
Scope note	Finite learnable stochastic models often used in MACHINE LEARNING consisting of two processes: a MARKOV CHAIN and an event observed and analyzed in a state unknown or hidden to the observer. Hidden Markov Models are often used in BIOINFORMATICS, time series analysis and speech and handwriting recognition.
Preferred term	Hidden Markov Models
Entry term(s)	Hidden Markov Model Markov Model, Hidden Model, Hidden Markov