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Artificial Intelligence in Medicine|September 17, 2021
Dengue models based on machine learning techniques: A systematic literature reviewWilliam Hoyos, Jose Aguilar, Mauricio Toro
Health Care Management Science|August 15, 2022
A clinical decision-support system for dengue based on fuzzy cognitive mapsWilliam Hoyos, Jose Aguilar, Mauricio Toro
Heliyon|October 7, 2022
An autonomous cycle of data analysis tasks for the clinical management of dengueWilliam Hoyos, Jose Aguilar, Mauricio Toro
Computer Methods and Programs in Biomedicine|October 14, 2023
Case studies of clinical decision-making through prescriptive models based on machine learningWilliam Hoyos, Jose Aguilar, Mayra Raciny, et al.
BMC Medical Informatics and Decision Making|December 19, 2024
An explainable analysis of diabetes mellitus using statistical and artificial intelligence techniquesWilliam Hoyos, Kenia Hoyos, Rander Ruiz, et al.
Diagnostics (Basel, Switzerland)|April 13, 2024
Supporting Malaria Diagnosis Using Deep Learning and Data AugmentationKenia Hoyos, William Hoyos
Diagnostics (Basel, Switzerland)|March 13, 2024
Using Computational Simulations Based on Fuzzy Cognitive Maps to Detect Dengue ComplicationsWilliam Hoyos, Kenia Hoyos, Rander Ruíz
Biomedica : Revista Del Instituto Nacional De Salud|January 11, 2024
Artificial intelligence model for early detection of diabetesWilliam Hoyos, Kenia Hoyos, Rander Ruiz-Pérez
Journal of Molecular Biology|December 31, 2021
In vivo Architecture of the Polar Organizing Protein Z (PopZ) Meshwork in the Alphaproteobacteria Magnetospirillum gryphiswaldense and Caulobacter crescentusMauricio Toro-Nahuelpan, Jürgen M Plitzko, Dirk Schüler, et al.
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