RT info:eu-repo/semantics/article
T1 Improvements for Therapeutic Intervention from the Use of Web Applications and Machine Learning Techniques in Different Affectations in Children Aged 0–6 Years
A1 Sáiz Manzanares, María Consuelo
A1 Marticorena Sánchez, Raúl
A1 Arnaiz González, Álvar
K1 Early care
K1 Web application
K1 Machine learning techniques
K1 Precision therapeutic program
K1 Personalized intervention
K1 Disabilities
K1 Psicología
K1 Psychology
K1 Informática
K1 Computer science
AB Technological advances together with machine learning techniques give health sciencedisciplines tools that can improve the accuracy of evaluation and diagnosis. The objectives of thisstudy were: (1) to design a web application based on cloud technology (eEarlyCare-T) for creatingpersonalized therapeutic intervention programs for children aged 0–6 years old; (2) to carry out apilot 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 avariety of developmental problems. In the data analysis, we used machine learning techniques ofsupervised learning (prediction) and unsupervised learning (clustering). Three clusters were found interms of functional development in the 11 areas of development. Based on these groupings, variouspersonalized therapeutic intervention plans were designed. The variable with most predictive valuefor functional development was the users’ developmental age (predicted 75% of the developmentin the various areas). The use of web applications together with machine learning techniquesfacilitates the analysis of functional development in young children and the proposal of personalizedintervention programs.
PB MDPI
YR 2022
FD 2022-05
LK http://hdl.handle.net/10259/7340
UL http://hdl.handle.net/10259/7340
LA eng
NO 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.
DS Repositorio Institucional de la Universidad de Burgos
RD 23-nov-2024