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

Author

Listed:
  • Carmen Lacave

    (Department of Information Technologies and Systems, Universidad de Castilla-La Mancha, Paseo de la Universidad, s/n, 13071 Ciudad Real, Spain)

  • Ana Isabel Molina

    (Department of Information Technologies and Systems, Universidad de Castilla-La Mancha, Paseo de la Universidad, s/n, 13071 Ciudad Real, Spain)

Abstract

The COVID-19 pandemic highlighted the importance of health and education and also revealed the need for innovative solutions relative to the challenges confronting these disciplines [...]

Suggested Citation

  • Carmen Lacave & Ana Isabel Molina, 2023. "Advances in Artificial Intelligence and Statistical Techniques with Applications to Health and Education," Mathematics, MDPI, vol. 11(6), pages 1-4, March.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:6:p:1344-:d:1092992
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    References listed on IDEAS

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    1. Javier Alejandro Jiménez Toledo & César A. Collazos & Manuel Ortega, 2021. "Discovery Model Based on Analogies for Teaching Computer Programming," Mathematics, MDPI, vol. 9(12), pages 1-21, June.
    2. Àngela Sebastià Bargues & José-Luis Polo Sanz & Raúl Martín Martín, 2022. "Optimal Experimental Design for Parametric Identification of the Electrical Behaviour of Bioelectrodes and Biological Tissues," Mathematics, MDPI, vol. 10(5), pages 1-16, March.
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    4. Tieyuan Liu & Chang Wang & Liang Chang & Tianlong Gu, 2022. "Predicting High-Risk Students Using Learning Behavior," Mathematics, MDPI, vol. 10(14), pages 1-15, July.
    5. Marina Segura & Jorge Mello & Adolfo Hernández, 2022. "Machine Learning Prediction of University Student Dropout: Does Preference Play a Key Role?," Mathematics, MDPI, vol. 10(18), pages 1-20, September.
    6. Carmen Patino-Alonso & Marta Gómez-Sánchez & Leticia Gómez-Sánchez & Benigna Sánchez Salgado & Emiliano Rodríguez-Sánchez & Luis García-Ortiz & Manuel A. Gómez-Marcos, 2022. "Predictive Ability of Machine-Learning Methods for Vitamin D Deficiency Prediction by Anthropometric Parameters," Mathematics, MDPI, vol. 10(4), pages 1-16, February.
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    8. Abdennour Boulesnane & Souham Meshoul & Khaoula Aouissi, 2022. "Influenza-like Illness Detection from Arabic Facebook Posts Based on Sentiment Analysis and 1D Convolutional Neural Network," Mathematics, MDPI, vol. 10(21), pages 1-22, November.
    9. Muhammad Arsalan & Adnan Haider & Ja Hyung Koo & Kang Ryoung Park, 2022. "Segmenting Retinal Vessels Using a Shallow Segmentation Network to Aid Ophthalmic Analysis," Mathematics, MDPI, vol. 10(9), pages 1-25, May.
    10. Alicia Nieto-Reyes & Rafael Duque & Giacomo Francisci, 2021. "A Method to Automate the Prediction of Student Academic Performance from Early Stages of the Course," Mathematics, MDPI, vol. 9(21), pages 1-14, October.
    11. Eglė Butkevičiūtė & Aleksėjus Michalkovič & Liepa Bikulčienė, 2022. "ECG Signal Features Classification for the Mental Fatigue Recognition," Mathematics, MDPI, vol. 10(18), pages 1-18, September.
    12. Cristian Gmez-Portes & José Jesús Castro-Schez & Javier Albusac & Dorothy N. Monekosso & David Vallejo, 2021. "A Fuzzy Recommendation System for the Automatic Personalization of Physical Rehabilitation Exercises in Stroke Patients," Mathematics, MDPI, vol. 9(12), pages 1-24, June.
    13. Bing Zhang & Jizhong Liu, 2022. "Discriminative Convolutional Sparse Coding of ECG Signals for Automated Recognition of Cardiac Arrhythmias," Mathematics, MDPI, vol. 10(16), pages 1-20, August.
    14. Francisco Javier Díez & Manuel Arias & Jorge Pérez-Martín & Manuel Luque, 2022. "Teaching Probabilistic Graphical Models with OpenMarkov," Mathematics, MDPI, vol. 10(19), pages 1-20, September.
    15. Oscar Revelo Sánchez & César A. Collazos & Miguel A. Redondo, 2021. "Automatic Group Organization for Collaborative Learning Applying Genetic Algorithm Techniques and the Big Five Model," Mathematics, MDPI, vol. 9(13), pages 1-23, July.
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