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International Journal of Medical Informatics|August 25, 2019
Persistence of data-driven knowledge to predict breast cancer survivalRicardo Kleinlein, David RiañoMedrxiv : the Preprint Server for Health Sciences|August 8, 2025
SPELL-LLMs: A Scalable and Privacy-Compliant NLP Pipeline Using Locally Hosted Large Language Models for Clinical Information ExtractionRicardo Kleinlein, Kathryn J Gray, David Bates, et al.Journal of Biomedical Informatics|September 25, 2017
Computer technologies to integrate medical treatments to manage multimorbidityDavid Riaño, Wilfrido OrtegaComputer Methods and Programs in Biomedicine|June 24, 2026
SPELL: A scalable NLP method using regular expressions and large language models for clinical information extractionRicardo Kleinlein, David W Bates, Carolyn Guan, et al.Journal of Clinical Medicine|September 10, 2021
Predicting Duration of Mechanical Ventilation in Acute Respiratory Distress Syndrome Using Supervised Machine LearningMohammed Sayed, David Riaño, Jesús VillarComputer Methods and Programs in Biomedicine|March 17, 2018
Formalization and acquisition of temporal knowledge for decision support in medical processesAida Kamišalić, David Riaño, Tatjana WelzerStudies in Health Technology and Informatics|May 20, 2008
Knowledge engineering as a support for building an actor profile ontology for integrating Home-Care systemsKarina Gibert, Aida Valls, David RiañoStudies in Health Technology and Informatics|October 12, 2018
Knowledge Formalization to Support Decision-Making in Heart Failure TreatmentAida Kamišalić, David Riaño, Tatjana WelzerCritical Care (London, England)|April 21, 2021
Novel criteria to classify ARDS severity using a machine learning approachMohammed Sayed, David Riaño, Jesús VillarSensors (Basel, Switzerland)|November 27, 2021
Multimodal Emotion Recognition on RAVDESS Dataset Using Transfer LearningCristina Luna-Jiménez, David Griol, Zoraida Callejas, et al.Pageof 3