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Analysis of institutional authors

Moreno-Blanco DCorresponding AuthorSánchez-González PAuthorGárate FAuthorCaceres CAuthorSolana-Sánchez JAuthorGomez EAuthor

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July 5, 2020
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Proceedings Paper
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New Approaches for Personalizing Daily Activity Monitoring in mHealth Applications

Publicated to:Comparative Study Of Machine Learning Methods For The Early Prediction Of Adherence To Medication. 76 1181-1186 - 2020-01-01 76(), DOI: 10.1007/978-3-030-31635-8_143

Authors: Moreno-Blanco, Diego; Sanchez-Gonzalez, Patricia; Garate, Francisco J; Caceres, Cesar; Solana-Sanchez, Javier; Tormos-Munoz, Jose M; Gomez, Enrique J

Affiliations

CIBER Bioingenieria, Biomateriales y Nanomedicina - Author
Ctr Invest Biomed Red Biomat & Nanomed CIBER BBN, Madrid, Spain - Author
Escuela Tecnica Superior de Ingenieros de Telecomunicacion, Madrid - Author
Fdn Inst Invest Ciencies Salut Germans Trias & Pu, Badalona, Spain - Author
Fundacio Institut dInvestigacio en Ciencies de la Salut Germans Trias i Pujol - Author
Inst Univ Neurorehabil Adscrit UAB, Inst Guttmann, Badalona, Spain - Author
Institut Guttmann - Author
Univ Autonoma Barcelona, Barcelona, Spain - Author
Univ Politecn Madrid, Biomed Engn & Telemed Ctr, Ctr Biomed Technol, ETSI Telecomunicac, Madrid, Spain - Author
Univ Rey Juan Carlos, Madrid, Spain - Author
Universidad Rey Juan Carlos - Author
Universitat Autònoma de Barcelona - Author
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Abstract

© 2020, Springer Nature Switzerland AG. Healthy daily activities have a positive influence on many aspects of our lives. Habits have a deep impact on our health, they help to prevent the appearance of chronic and neurodegenerative diseases and will provide a healthy and active aging. This research work is aiming to analyze the need of new approaches on monitoring daily life activities, investigating new technologies and user modelling methods for healthy habits monitoring. mHealth platforms allow to perform a multivariable monitoring for allowing effective and personalized interventions. Data analytics, data mining and gamification methodologies are being applied to investigate user experience models. This user adaptation is commonly focused on personality and mood monitoring. Furthermore, new user models are built based on monitoring data, personality of user and the daily activity patterns extracted from intelligent and personalized monitoring. The final goal is contributing to improve user´s adherence to interventions, quality of life and quality of care in mHealth applications.

Keywords

Daily activity patternsData analyticsEmotional statusHabit managementHealthy habitsMachine learningMonitoringUser model

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Comparative Study Of Machine Learning Methods For The Early Prediction Of Adherence To Medication, Q3 Agency Scopus (SJR), its regional focus and specialization in , give it significant recognition in a specific niche of scientific knowledge at an international level.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-07-27:

  • Google Scholar: 2
  • Scopus: 1

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-27:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 37 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (MORENO BLANCO, DIEGO) and Last Author (GOMEZ AGUILERA, ENRIQUE JAVIER).

the author responsible for correspondence tasks has been MORENO BLANCO, DIEGO.