Advances in Artificial Intelligence and Statistical Techniques with Applications to Health and Education

The present reprint contains all of the articles accepted and published in the Special Issue " Advances in Artificial Intelligence and Statistical Techniques with Applications to Health and Education" from the MDPI journal Mathematics. This Special Issue aims to develop more efficient and effective...

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منشور في: MDPI - Multidisciplinary Digital Publishing Institute 2023
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_version_ 1869517304898781184
collection Directory of Open Access Books
description The present reprint contains all of the articles accepted and published in the Special Issue " Advances in Artificial Intelligence and Statistical Techniques with Applications to Health and Education" from the MDPI journal Mathematics. This Special Issue aims to develop more efficient and effective approaches to healthcare and education, leveraging the increasing availability of big data and advancements in artificial intelligence. By sharing new methods, applications, and case studies, this reprint is dedicated to the development of innovative solutions that improve healthcare and education for all. The topics addressed in this Special Issue cover a wide range of areas, including data mining, machine learning, learning analytics, prediction methods, pattern recognition, decision analysis, probabilistic reasoning, fuzzy systems, student or patient modelling, adaptive systems, collaborative systems, recommendation systems, experimental design, and empirical study cases. We hope that this reprint will enable the scientific community in both medicine and education to leverage the techniques from statistics and artificial intelligence to drive significant advances in their respective fields. These approaches hold promise for improving patient outcomes and enhancing the quality of education for students around the world.
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publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
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spelling doab-20.500.12854ir-1000462024-03-28T03:32:17Z Advances in Artificial Intelligence and Statistical Techniques with Applications to Health and Education Lacave, Carmen Molina, Ana Isabel Alzheimer’s disease dementia functional data analysis functional depth statistical data depth symmetry elemental information matrix gamma distribution poisson distribution D-optimization misspecification machine learning modeling programming text analysis remote rehabilitation recommender system stroke fuzzy logic telemedicine collaborative learning collaborative work genetic algorithms group formation personality traits computer-supported cooperative learning non-parametric statistics predictive methods supervised classification random methods after-school exercise academic performance structural relationship quantile regression instrumental variable quantile regression vitamin D decision making anthropometric parameters optimal experimental design bioimpedance impedance spectroscopy algorithm competency-based model didactic planning ontology natural language processing Bloom’s taxonomy retina fundus image retinal vasculature retinal disorders semantic segmentation learning behavior student performance prediction deep neural network (DNN) recurrent neural network (RNN) educational data mining (EDM) probabilistic graphical models bayesian networks value-based potentials approximate inference medical applications electrocardiogram signal discriminative convolutional sparse coding dictionary filter learning linear SVM student dropout Feature Selection Artificial Neural Networks Support Vector Machines decision trees logistic regression ECG mental fatigue signal analysis classification OpenMarkov Bayesian Networks d-separation inference Learning Bayesian Networks continuous assessment Bayesian networks artificial neural networks influenza-like illness COVID-19 Arabic sentiment analysis disease classification Facebook Algerian dialect mobile computing dual tasking cognitive decline human motion tracking gait analysis n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science The present reprint contains all of the articles accepted and published in the Special Issue " Advances in Artificial Intelligence and Statistical Techniques with Applications to Health and Education" from the MDPI journal Mathematics. This Special Issue aims to develop more efficient and effective approaches to healthcare and education, leveraging the increasing availability of big data and advancements in artificial intelligence. By sharing new methods, applications, and case studies, this reprint is dedicated to the development of innovative solutions that improve healthcare and education for all. The topics addressed in this Special Issue cover a wide range of areas, including data mining, machine learning, learning analytics, prediction methods, pattern recognition, decision analysis, probabilistic reasoning, fuzzy systems, student or patient modelling, adaptive systems, collaborative systems, recommendation systems, experimental design, and empirical study cases. We hope that this reprint will enable the scientific community in both medicine and education to leverage the techniques from statistics and artificial intelligence to drive significant advances in their respective fields. These approaches hold promise for improving patient outcomes and enhancing the quality of education for students around the world. 2023-05-11T17:18:14Z 2023-05-11T17:18:14Z 2023 book ONIX_20230511_9783036572468_63 9783036572468 9783036572475 https://directory.doabooks.org/handle/20.500.12854/100046 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/7139 https://mdpi.com/books/pdfview/book/7139 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-7247-5 10.3390/books978-3-0365-7247-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036572468 9783036572475 406 Basel open access
spellingShingle Alzheimer’s disease
dementia
functional data analysis
functional depth
statistical data depth
symmetry
elemental information matrix
gamma distribution
poisson distribution
D-optimization
misspecification
machine learning
modeling
programming
text analysis
remote rehabilitation
recommender system
stroke
fuzzy logic
telemedicine
collaborative learning
collaborative work
genetic algorithms
group formation
personality traits
computer-supported cooperative learning
non-parametric statistics
predictive methods
supervised classification
random methods
after-school exercise
academic performance
structural relationship
quantile regression
instrumental variable quantile regression
vitamin D
decision making
anthropometric parameters
optimal experimental design
bioimpedance
impedance spectroscopy
algorithm
competency-based model
didactic planning
ontology
natural language processing
Bloom’s taxonomy
retina
fundus image
retinal vasculature
retinal disorders
semantic segmentation
learning behavior
student performance prediction
deep neural network (DNN)
recurrent neural network (RNN)
educational data mining (EDM)
probabilistic graphical models
bayesian networks
value-based potentials
approximate inference
medical applications
electrocardiogram signal
discriminative convolutional sparse coding
dictionary filter learning
linear SVM
student dropout
Feature Selection
Artificial Neural Networks
Support Vector Machines
decision trees
logistic regression
ECG
mental fatigue
signal analysis
classification
OpenMarkov
Bayesian Networks
d-separation
inference
Learning Bayesian Networks
continuous assessment
Bayesian networks
artificial neural networks
influenza-like illness
COVID-19
Arabic sentiment analysis
disease classification
Facebook
Algerian dialect
mobile computing
dual tasking
cognitive decline
human motion tracking
gait analysis
n/a
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::P Mathematics and Science
Advances in Artificial Intelligence and Statistical Techniques with Applications to Health and Education
title Advances in Artificial Intelligence and Statistical Techniques with Applications to Health and Education
title_full Advances in Artificial Intelligence and Statistical Techniques with Applications to Health and Education
title_fullStr Advances in Artificial Intelligence and Statistical Techniques with Applications to Health and Education
title_full_unstemmed Advances in Artificial Intelligence and Statistical Techniques with Applications to Health and Education
title_short Advances in Artificial Intelligence and Statistical Techniques with Applications to Health and Education
title_sort advances in artificial intelligence and statistical techniques with applications to health and education
topic Alzheimer’s disease
dementia
functional data analysis
functional depth
statistical data depth
symmetry
elemental information matrix
gamma distribution
poisson distribution
D-optimization
misspecification
machine learning
modeling
programming
text analysis
remote rehabilitation
recommender system
stroke
fuzzy logic
telemedicine
collaborative learning
collaborative work
genetic algorithms
group formation
personality traits
computer-supported cooperative learning
non-parametric statistics
predictive methods
supervised classification
random methods
after-school exercise
academic performance
structural relationship
quantile regression
instrumental variable quantile regression
vitamin D
decision making
anthropometric parameters
optimal experimental design
bioimpedance
impedance spectroscopy
algorithm
competency-based model
didactic planning
ontology
natural language processing
Bloom’s taxonomy
retina
fundus image
retinal vasculature
retinal disorders
semantic segmentation
learning behavior
student performance prediction
deep neural network (DNN)
recurrent neural network (RNN)
educational data mining (EDM)
probabilistic graphical models
bayesian networks
value-based potentials
approximate inference
medical applications
electrocardiogram signal
discriminative convolutional sparse coding
dictionary filter learning
linear SVM
student dropout
Feature Selection
Artificial Neural Networks
Support Vector Machines
decision trees
logistic regression
ECG
mental fatigue
signal analysis
classification
OpenMarkov
Bayesian Networks
d-separation
inference
Learning Bayesian Networks
continuous assessment
Bayesian networks
artificial neural networks
influenza-like illness
COVID-19
Arabic sentiment analysis
disease classification
Facebook
Algerian dialect
mobile computing
dual tasking
cognitive decline
human motion tracking
gait analysis
n/a
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::P Mathematics and Science
topic_facet Alzheimer’s disease
dementia
functional data analysis
functional depth
statistical data depth
symmetry
elemental information matrix
gamma distribution
poisson distribution
D-optimization
misspecification
machine learning
modeling
programming
text analysis
remote rehabilitation
recommender system
stroke
fuzzy logic
telemedicine
collaborative learning
collaborative work
genetic algorithms
group formation
personality traits
computer-supported cooperative learning
non-parametric statistics
predictive methods
supervised classification
random methods
after-school exercise
academic performance
structural relationship
quantile regression
instrumental variable quantile regression
vitamin D
decision making
anthropometric parameters
optimal experimental design
bioimpedance
impedance spectroscopy
algorithm
competency-based model
didactic planning
ontology
natural language processing
Bloom’s taxonomy
retina
fundus image
retinal vasculature
retinal disorders
semantic segmentation
learning behavior
student performance prediction
deep neural network (DNN)
recurrent neural network (RNN)
educational data mining (EDM)
probabilistic graphical models
bayesian networks
value-based potentials
approximate inference
medical applications
electrocardiogram signal
discriminative convolutional sparse coding
dictionary filter learning
linear SVM
student dropout
Feature Selection
Artificial Neural Networks
Support Vector Machines
decision trees
logistic regression
ECG
mental fatigue
signal analysis
classification
OpenMarkov
Bayesian Networks
d-separation
inference
Learning Bayesian Networks
continuous assessment
Bayesian networks
artificial neural networks
influenza-like illness
COVID-19
Arabic sentiment analysis
disease classification
Facebook
Algerian dialect
mobile computing
dual tasking
cognitive decline
human motion tracking
gait analysis
n/a
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::P Mathematics and Science
url ONIX_20230511_9783036572468_63