2026-05-07T09:34:06Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/73402023-03-21T10:52:15Zcom_10259_5841com_10259_5086com_10259_2604com_10259_4219col_10259_5842col_10259_4220
Sáiz Manzanares, María Consuelo
510
600
0000-0002-1736-2089
Marticorena Sánchez, Raúl
338
600
0000-0002-2633-635X
Arnaiz González, Álvar
39
600
0000-0001-6965-0237
2023-01-26T13:36:51Z
2023-01-26T13:36:51Z
2022-05
http://hdl.handle.net/10259/7340
10.3390/ijerph19116558
1660-4601
Technological advances together with machine learning techniques give health science
disciplines tools that can improve the accuracy of evaluation and diagnosis. The objectives of this
study were: (1) to design a web application based on cloud technology (eEarlyCare-T) for creating
personalized therapeutic intervention programs for children aged 0–6 years old; (2) to carry out a
pilot study to test the usability of the eEarlyCare-T application in therapeutic intervention programs.
We performed a pilot study with 23 children aged between 3 and 6 years old who presented a
variety of developmental problems. In the data analysis, we used machine learning techniques of
supervised learning (prediction) and unsupervised learning (clustering). Three clusters were found in
terms of functional development in the 11 areas of development. Based on these groupings, various
personalized therapeutic intervention plans were designed. The variable with most predictive value
for functional development was the users’ developmental age (predicted 75% of the development
in the various areas). The use of web applications together with machine learning techniques
facilitates the analysis of functional development in young children and the proposal of personalized
intervention programs.
The development of the “eEarly Care” and “Therapeutic intervention programs” web applications has been financed by FEDER FOUNDS: VI Edition of the Call for Proofs of Concept: Impulse for the valorization and marketing of research results (2018–2019), VII Edition of the Call for Proofs of Concept: Impulse for the valorization and marketing of research results (2019–2020) and VII Edition of the Call for Proofs of Concept: Impulse for the valorization and marketing of research results (2020–2021), all managed by the JUNTA DE CASTILLA Y LÉON (SPAIN). Currently, training in the use of these web applications has been co-funded by the EUROPEAN UNION in the e-EarlyCare-T research project No. 2021-1-ES01-KA220-SCH-9A787316.
application/pdf
eng
MDPI
International Journal of Environmental Research and Public Health. 2022, V. 19, n. 11, 6558
https://doi.org/10.3390/ijerph19116558
info:eu-repo/grantAgreement/EC/Erasmus+/2021-1-ES01-KA220-SCH-9A787316/EU/Specialized and updated training on supporting advance technologies for early childhood education and care professionals and graduates/eEarlyCare-T/
Atribución 4.0 Internacional
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
Early care
Web application
Machine learning techniques
Precision therapeutic program
Personalized intervention
Disabilities
Psicología
Informática
Psychology
Computer science
Improvements for Therapeutic Intervention from the Use of Web Applications and Machine Learning Techniques in Different Affectations in Children Aged 0–6 Years
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
International Journal of Environmental Research and Public Health
19
11
THUMBNAIL
Saiz-erph_2022.pdf.jpg
Saiz-erph_2022.pdf.jpg
IM Thumbnail
image/jpeg
3465
https://riubu.ubu.es/bitstream/10259/7340/4/Saiz-erph_2022.pdf.jpg
9a08d5953247030db50837139e76c2f1
MD5
4
LICENSE
license.txt
license.txt
text/plain; charset=utf-8
999
https://riubu.ubu.es/bitstream/10259/7340/3/license.txt
b295bcbce42e2caabeb0c623d3860c06
MD5
3
CC-LICENSE
license_rdf
license_rdf
application/rdf+xml; charset=utf-8
908
https://riubu.ubu.es/bitstream/10259/7340/2/license_rdf
0175ea4a2d4caec4bbcc37e300941108
MD5
2
ORIGINAL
Saiz-erph_2022.pdf
Saiz-erph_2022.pdf
application/pdf
5528174
https://riubu.ubu.es/bitstream/10259/7340/1/Saiz-erph_2022.pdf
76962882b4ec27710b65666c8f6465ff
MD5
1
10259/7340
oai:riubu.ubu.es:10259/7340
2023-03-21 11:52:15.606
Repositorio Institucional de la Universidad de Burgos
bubrep@ubu.es
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