Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Jose M. Juarez"'
Autor:
Isidoro J. Casanova, Manuel Campos, Jose M. Juarez, Antonio Gomariz, Bernardo Canovas-Segura, Marta Lorente-Ros, Jose A. Lorente
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Background Pattern mining techniques are helpful tools when extracting new knowledge in real practice, but the overwhelming number of patterns is still a limiting factor in the health-care domain. Current efforts concerning the definition of
Externí odkaz:
https://doaj.org/article/0bb4aed6be9e43e9a9c83ee8ce79ecf9
Publikováno v:
SoftwareX, Vol 28, Iss , Pp 101895- (2024)
This manuscript introduces Subgroups, an openly accessible Python library designed to ease the use of Subgroup Discovery (SD) algorithms for machine learning and data science. The Subgroups Library offers several advantages: (1) Efficiency Enhancemen
Externí odkaz:
https://doaj.org/article/3317c90105534b9a82961855c0d12d5a
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Validated and curated datasets are essential for studying the spread and control of infectious diseases in hospital settings, requiring clinical information on patients’ evolution and their location. The literature shows that approaches ba
Externí odkaz:
https://doaj.org/article/e77770c9f4354434855a63d6c8ae0b17
Publikováno v:
Technologies, Vol 12, Iss 3, p 31 (2024)
In recent years, the proliferation of health data sources due to computer technologies has prompted the use of visualization techniques to tackle epidemiological challenges. However, existing reviews lack a specific focus on the spatial and temporal
Externí odkaz:
https://doaj.org/article/b9d5e7ad49134bab9c6cd10895bc0668
Publikováno v:
Applied Sciences, Vol 13, Iss 14, p 8317 (2023)
The quantitative effect of seasonality on the prevalence of infectious diseases has been widely studied in epidemiological models. However, its influence in clinical prediction models has not been analyzed in great depth. In this work, we study the d
Externí odkaz:
https://doaj.org/article/59edf49ac16c416f917f5a1c0e345e0b
Publikováno v:
Algorithms, Vol 16, Iss 6, p 274 (2023)
Subgroup Discovery (SD) is a supervised data mining technique for identifying a set of relations (subgroups) among attributes from a dataset with respect to a target attribute. Two key components of this technique are (i) the metric used to quantify
Externí odkaz:
https://doaj.org/article/10ed86011a6542f7a84645a9e76d88fa
Autor:
Antonio Lopez-Martinez-Carrasco, Hugo M. Proença, Jose M. Juarez, Matthijs van Leeuwen, Manuel Campos
Publikováno v:
Advances in Intelligent Data Analysis XXI ISBN: 9783031300462
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bf00f38d58f50192e393b1ddcd2c0b6
https://doi.org/10.1007/978-3-031-30047-9_21
https://doi.org/10.1007/978-3-031-30047-9_21
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031236174
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::532b62b1b5ebc37aaf46274198c4bcac
https://doi.org/10.1007/978-3-031-23618-1_29
https://doi.org/10.1007/978-3-031-23618-1_29
Publikováno v:
Distributed Computing and Artificial Intelligence, Special Sessions, 19th International Conference ISBN: 9783031232091
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdaafbd7f81ffb5b231b5a92072ea8e9
https://doi.org/10.1007/978-3-031-23210-7_15
https://doi.org/10.1007/978-3-031-23210-7_15
Publikováno v:
Journal of Biomedical Informatics. :104397