@AbsysGroup

Research group @unicomplutense 4 Design & implementation of Adaptive & Bioinspired Systems to solve optimisation, modelling & Diabetes and Artificial Pancreas

 Universidad Complutense
absys.dacya.ucm.es
Joined April 2015
  • Tweets459
  • Following230
  • Followers184
Read our latest #research on [#GP], "Hw RT individualised blood glucose predictor generator based on grammars and cartesian GP "published with @SpringerNature in Genetic Programming and Evolvable Machines rdcu.be/d2fep
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GPEMjournal@GPEMthejournal5 Dec 2024
link.springer.com/article/10…
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Iñaki Hidalgo@evoHidalgo25 Nov 2024
Our @AbsysGroup paper "Novel methodological and computational techniques for uncertainty quantification in diabetes short-term management models using real data" is now available online tandfonline.com/doi/full/10.…

Novel methodological and computational techniques for uncertainty quantification in diabetes...

An open problem in diabetes clinical practice is determining where and how much insulin should be administered to a person with diabetes (PwD) and how many carbohydrates they should eat to maintain...

tandfonline.com
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Ayer recibimos la visita de @ivancfd y Josep Vehí para impartir dos magníficas charlas sobre IA y diabetes y presentar las actividades de la cátedra UdG - Dexcom @dexcom_medical
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Las charlas estarán disponibles muy pronto en el canal de YouTube de @AbsysGroup
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Our paper “Hardware real-time individualised blood glucose predictor generator based on grammars and cartesian has been accepted for publication in Genetic Programming and Evolvable Machines.
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Our paper "Building uncertainty-aware mathematical models based on evidence from datasets using grammatical evolution . The case of the obesity dynamics", has been accepted for publication in Computational and Applied Mathematics journal. A work in collaboration with @MUNQU_IMM
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Jason H. Moore, PhD@moorejh29 Jul 2024
Understatement of the year...
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Iñaki Hidalgo@evoHidalgo31 Jul 2024
Our paper "Combination of Machine Learning Techniques to Predict Overweight/Obesity in Adults" has been published at @JPM_MDPI mdpi.com/2894394 #mdpijpm @AbsysGroup @FMedicinaUniCM @informaticaucm

Combination of Machine Learning Techniques to Predict Overweight/Obesity in Adults

(1) Background: Artificial intelligence using machine learning techniques may help us to predict and prevent obesity. The aim was to design an interpretable prediction algorithm for overweight/obes...

mdpi.com
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Si estudias @informaticaucm y quieres hacer un TFG relacionado con la computación evolutiva y aplicación en Salud, aquí tienes algunas que puedes hacer en @AbsysGroup
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Sistema de predicción de glucosa a partir de datos de EEG
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Modelización del riesgo de sobrepeso y obesidad a partir de análisis genético mediante programación genética
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A new Ph.D for our group in collaboration @unicomplutense @infouex “Glucose Prediction through spectral transformation, evolutionary computing and deep Learning”very proud !!
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@AbsysGroup participated last week in GPTP workshops. Oscar Garnica presented "Tree-Based Grammatical Evolution with Non-Encoding Nodes"
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Our article HUPA-UCM Diabetes Dataset is now available online and open access: doi.org/10.1016/j.dib.2024.1…
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Iñaki Hidalgo@evoHidalgo23 May 2024
Nueva reunión del autodenominado grupo “Threshold” en @informaticaucm con presencia de @AbsysGroup @MUNQU_IMM Grupo de Evolución Artificial de @infouex y @JCeberio
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Iñaki Hidalgo@evoHidalgo6 Jun 2024
Our paper "Explainable hypoglycemia prediction models through dynamic structured grammatical evolution - goo.gl/scholar/Jq7EYM #ScholarAlerts is now available @AbsysGroup
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Our paper, "Learning Difference Equations with Structured Grammatical Evolution for Postprandial Glycaemia Prediction," is now published in: IEEE Journal of Biomedical and Health Informatics Digital Object Identifier: 10.1109/JBHI.2024.3371108
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