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

Authors :
Lacave, Carmen
Molina, Ana Isabel
Lacave, Carmen

Abstract

Summary: 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.

Subjects

Subjects :
Research & information: general
Mathematics & science
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

Details

Language :
English
ISBN :
books978-3-0365-7247-5
9783036572468
9783036572475
ISBNs :
9783036572475, 9783036572468, and 9783036572475
Database :
Jio Institute Digital Library Catalog
Journal :
Advances in Artificial Intelligence and Statistical Techniques with Applications to Health and Education
Notes :
004345, Journalism, Open Access star Unrestricted online access, Creative Commons https://creativecommons.org/licenses/by/4.0/ cc https://creativecommons.org/licenses/by/4.0/, English
Publication Type :
Book
Accession number :
jlc.oai.folio.org.fs00001072.f4ff5439.086d.4d31.9c2f.a1133101976d
Document Type :
Book; Electronic document