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Advances in Artificial Intelligence and Statistical Techniques with Applications to Health and Education
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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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Keywords
- academic performance
- after-school exercise
- Algerian dialect
- Algorithm
- Alzheimer’s disease
- anthropometric parameters
- approximate inference
- Arabic sentiment analysis
- Artificial Neural Networks
- Bayesian networks
- bioimpedance
- Bloom’s taxonomy
- Classification
- Cognitive decline
- collaborative learning
- Collaborative work
- competency-based model
- computer-supported cooperative learning
- continuous assessment
- COVID-19
- D-optimization
- d-separation
- Decision making
- decision trees
- deep neural network (DNN)
- Dementia
- dictionary filter learning
- didactic planning
- discriminative convolutional sparse coding
- disease classification
- dual tasking
- ECG
- educational data mining (EDM)
- electrocardiogram signal
- elemental information matrix
- feature selection
- functional data analysis
- functional depth
- fundus image
- Fuzzy logic
- gait analysis
- gamma distribution
- Genetic algorithms
- group formation
- human motion tracking
- impedance spectroscopy
- inference
- influenza-like illness
- instrumental variable quantile regression
- Learning Bayesian Networks
- learning behavior
- linear SVM
- logistic regression
- Machine learning
- Mathematics & science
- Medical applications
- Mental fatigue
- misspecification
- Mobile computing
- modeling
- n/a
- Natural Language Processing
- non-parametric statistics
- Ontology
- OpenMarkov
- optimal experimental design
- personality traits
- Poisson distribution
- predictive methods
- probabilistic graphical models
- Programming
- quantile regression
- random methods
- recommender system
- recurrent neural network (RNN)
- Reference, information & interdisciplinary subjects
- remote rehabilitation
- Research & information: general
- Retina
- retinal disorders
- retinal vasculature
- semantic segmentation
- signal analysis
- statistical data depth
- Stroke
- structural relationship
- student dropout
- student performance prediction
- supervised classification
- support vector machines
- Symmetry
- Telemedicine
- Text Analysis
- thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
- thema EDItEUR::P Mathematics and Science
- value-based potentials
- Vitamin D
Links
DOI: 10.3390/books978-3-0365-7247-5Editions