Hidden Markov Models and Self-Organizing Maps Applied to Stroke Incidence

Journals Menu

Follow SCIRP

ISSN Print: 2165-3917
ISSN Online: 2165-3925
www.scirp.org/journal/ojapps
E-mail: ojapps@scirp.org

"Hidden Markov Models and Self-Organizing Maps Applied to Stroke Incidence"
written by Hiroshi Morimoto,
published by Open Journal of Applied Sciences, Vol.6 No.3, 2016

has been cited by the following article(s):

[1]	Hidden Markov models on a self-organizing map for anomaly detection in 802.11 wireless networks
	2021

[2]	Learning from multi-entity data
	2021

[3]	Genetic Improvement of Industrial Saccharomyces Cerevisiae: Consolidated Bioprocessing and Value-Added Products for an Advanced Lignocellulosic …
	2021

[4]	Loan modifications and risk of default: a Markov chains approach
	2020

[5]	Automatic estimation of differential evolution parameters using Hidden Markov Models
	Evolutionary Intelligence, 2018

[6]	Bayesian Analysis Links Weather, Cerebral Infarction and Gen e Expression
	2017

[7]	Bayesian Analysis Links Weather, Cerebral Infarction and Gene Expression
	International Journal of Collaborative Research on Internal Medicine & Public Health, 2017

[8]	Association Analysis Identifies Risk of Ischemic Heart Disease When Temperature Increases
	2016

[9]	Hidden Markov Models to Estimate the Lagged Effects of Weather on Stroke and Ischemic Heart Disease
	2016

[10]	Exploring linkages between weather factors and the risk of cerebral infarction through the application of Bayesian networks
	International Journal of Engineering and Applied Sciences (IJEAS), 2016

[11]	Use of Hidden Markov Models to Identify Background States Behind Risks of Cerebral Infarction and Ischemic Heart Disease
	Journal of Mathematics Research, 2016

[1]	A Comparative Analysis of Machine Learning Algorithms for Identifying Cultural and Technological Groups in Archaeological Datasets through Clustering Analysis of Homogeneous Data Electronics, 2024 DOI:10.3390/electronics13142752

[2]	Hidden Markov models on a self-organizing map for anomaly detection in 802.11 wireless networks Neural Computing and Applications, 2021 DOI:10.1007/s00521-020-05627-7

[3]	Automatic estimation of differential evolution parameters using Hidden Markov Models Evolutionary Intelligence, 2018 DOI:10.1007/s12065-018-0153-5

[4]	Hidden Markov Models to Estimate the Lagged Effects of Weather on Stroke and Ischemic Heart Disease Applied Mathematics, 2016 DOI:10.4236/am.2016.713122

Follow SCIRP