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Cristina Pruenza

Observed names: C. Pruenza Garcia-Hinojosa, Cristina Pruenza García-Hinojosa
ORCID: 0009-0002-8565-4507
Observed ORCID: 0009-0002-8565-4507
OpenAlex ID: A5061462525
Severe Disease in Patients With Recent-Onset Psoriatic Arthritis. Prediction Model Based on Machine Learning
2022 · Rubén Queiro, Daniel Seoane-Mato, et al. · Frontiers in Medicine · 18
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Model for Prediction of Progression in Multiple Sclerosis
2019 · Cristina Pruenza, María Teresa Solano, et al. · International Journal of Interactive Multimedia and Artificial Intelligence · 15
Hospital-Wide Sepsis Detection: A Machine Learning Model Based on Prospectively Expert-Validated Cohort
2026 · Marcio Borges-Sa, Andres Giglio, et al. · Journal of Clinical Medicine · 8
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Moderate-High Disease Activity in Patients with Recent-Onset Psoriatic Arthritis—Multivariable Prediction Model Based on Machine Learning
2023 · Rubén Queiro, Daniel Seoane-Mato, et al. · Journal of Clinical Medicine · 8
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Privacy-Preserving Tabular Data Generation: Application to Sepsis Detection
2024 · Eric Macias-Fassio, Aythami Morales, et al. · Lecture notes in computer science · 5
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Application of a machine learning model for early prediction of in-hospital cardiac arrests: Retrospective observational cohort study
2025 · L. Socias Crespí, L. Gutiérrez Madroñal, et al. · Medicina Intensiva · 4
Development of a Predictive Model for Induction Success of Labour
2017 · Cristina Pruenza, María Teurón, et al. · International Journal of Interactive Multimedia and Artificial Intelligence · 3
Prospective economic evaluation of a predictive artificial intelligence model for sepsis: Effects on hospital costs and return on investment
2026 · Andres Giglio, Eric Macias-Fassio, et al. · PLOS Global Public Health · 2
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Application of a machine learning model for early prediction of in-hospital cardiac arrests: Retrospective observational cohort study
2024 · L. Socias Crespí, L. Gutiérrez Madroñal, et al. · Medicina Intensiva (English Edition) · 2
Privacy-Aware Synthetic Tabular Data Generation for Healthcare: Application to Sepsis Detection
2026 · Eric Macias-Fassio, Aythami Morales, et al. · Bioengineering · 1
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Can Artificial Intelligence and Machine Learning Techniques improve the ability to detect Sepsis and Septic Shock. A retrospective study of 218,562 adult patients in a university hospital
2024 · Veronica Lisseth Hernandez González, Maria Ortega Alaminos, et al. · Journal of Critical Care · 1
From development to clinical practice: deployment of an interoperable and secure ML-based CDSS to aid in the early detection of sepsis
2026 · Ana Serrano García, David López, et al. · International Journal of Medical Informatics
Works count: 12
Citation count: 67
H-index: 5
I10-index: 2
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