Monitoring Geriatric Frailty through Heatmaps and Intelligent Dashboards: A Web Solution for Long-Term Care Institutions in Southern Brazil
Abstract
The assessment and monitoring of geriatric fragility are essential for guiding care strategies in long-term care institutions (ILPIs). This paper presents the development of a web-based platform that integrates heatmaps, intelligent dashboards, and artificial intelligence (AI)-based recommendation modules to support health teams and medical students from IES X. Data collected through a structured questionnaire include sociodemographic, clinical, functional, and health parameters. The system architecture employs ReactJS, MySQL, and Google Maps API for data visualization and spatial analysis. Initial results demonstrate the system’s potential to optimize geriatric care and inform public health policies.
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Dias, V. F. (2020). Heatmap: Aplicação colaborativa baseada em mapas de calor para partilha da cidade. Master’s thesis, Universidade NOVA de Lisboa (Portugal).
Fried, L. P., Tangen, C. M., Walston, J., Newman, A. B., Hirsch, C., Gottdiener, J., Seeman, T., Tracy, R., Kop, W. J., Burke, G., et al. (2001). Frailty in older adults: evidence for a phenotype. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 56(3):M146–M157.
Google Forms 2025. Google forms: Free online surveys for personal use. [link]. Last accessed 2025/06/22.
Google Maps Platform (2025). Heatmaps. Accessed: 2025-06-22.
Kononenko, I. (2001). Machine learning for medical diagnosis: history, state of the art and perspective. Artificial Intelligence in medicine, 23(1):89–109.
Moraes, E. N. d. (2012). Atenção à saúde do idoso: aspectos conceituais. In Atenção à saúde do idoso: aspectos conceituais, pages 102–102.
Morley, J. E., Vellas, B., Van Kan, G. A., Anker, S. D., Bauer, J. M., Bernabei, R., Cesari, M., Chumlea, W., Doehner, W., Evans, J., et al. (2013). Frailty consensus: a call to action. Journal of the American Medical Directors Association, 14(6):392–397.
Murray, S. (2017). Interactive data visualization for the web: An introduction to designing with D3. ” O’Reilly Media, Inc.”.
MySQL 2025. Mysql: The world’s most popular open source database. [link]. Last accessed 2025-06-22.
Ricci, F., Rokach, L., and Shapira, B. (2011). Introduction to recommender systems handbook. springer, boston, ma.
Rockwood, K., Song, X., MacKnight, C., Bergman, H., Hogan, D. B., McDowell, I., and Mitnitski, A. (2005). A global clinical measure of fitness and frailty in elderly people. Cmaj, 173(5):489–495.
Team, R. (2024). React-a javascript library for building user interfaces. URL: [link] (hämtad 2024-04-11).
Published
2025-11-12
How to Cite
ALVES, Carlos Vinícius Rasch et al.
Monitoring Geriatric Frailty through Heatmaps and Intelligent Dashboards: A Web Solution for Long-Term Care Institutions in Southern Brazil. In: SOUTHERN REGIONAL SCHOOL ON MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE (ERAMIA-RS), 1. , 2025, Porto Alegre/RS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 292-295.
DOI: https://doi.org/10.5753/eramiars.2025.16656.
