Data Analysis Tecniques Applied in health environments sciences

The research group in Data Analysis Techniques Applied in Health Environments Sciences (DATAHES), is an interdisciplinary and interuniversity group in the areas of knowledge of Evolutionary and Educational Psychology, the Area of personality, Psychological Evaluation and Treatment, Medicine, and Computing Engineering. It also actively collaborates with the following research groups: - Advanced Data Mining Research and Bioinformatics Learning (ADMIRABLE) - Inclusive Custom Design (DINPER) - Research Group of Excellence in Educational Psychology (GIEPE) of the University of Valladolid - Teaching innovation group of the University of Burgos B-Learning in Health Sciences (B-LCS) Likewise, the group develops its research activity in four areas of research, application of machine learning techniques in the study of the use of active methodologies in health and engineering science degrees, of the results of the evaluation of different disabilities at ages 0- 6 years, the use of metacognitive strategies in different groups (Secondary Education, Higher Education and 0-6 years) and the main emotional disorders in different groups (children, young people and adults), in all cases for the purpose of applying intervention programs. In the same way, it has started the work in collaboration with members of the ADMIRABLE group of the design of computer applications aimed at the evaluation in areas of development 0-6 years and of personalized proposal of intervention programs.

Researchers

Classifications

  • Application Area: SANITARIA
  • Group Character: 01
  • Group Recognition: GRUPO RECONOCIDO UBU

beta Prevailing specialties (top 10) Obtained from publications help
Obtained from publications

The displayed thematic specialties have been obtained through the application of artificial intelligence models, derived as a result of the Hercules Project from those publications with an abstract, provided that the record does not come from commercial databases, which impose restrictions on data usage.

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  1. Education (Social Sciences) Filter
  2. Applied Psychology (Psychology) Filter
  3. Computers and Society (Computer Science) Filter
  4. Developmental and Educational Psychology (Psychology) Filter
  5. Human-Computer Interaction (Computer Science) Filter
  6. Internal Medicine (Medicine) Filter
  7. Physics Education (Physics and Astronomy) Filter
  8. Social Psychology (Psychology) Filter
  9. Endocrinology (Biochemistry, Genetics and Molecular Biology) Filter
  10. General Medicine (Medicine) Filter

Former members (3)


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