Miguel Ángel Armengol de la Hoz

Big data and machine learning in critical care: Opportunities for collaborative research

2018 · 35 Zit. · Medicina Intensiva

Big Data Analysis and Machine Learning in Intensive Care Units

2019 · 31 Zit. · Medicina Intensiva (English Edition)

The role of Open Access Data in democratizing healthcare AI: A pathway to research enhancement, patient well-being and treatment equity in Andalusia, Spain

2024 · 16 Zit. · PLOS Digital Health

Developing and Validating Multi-Modal Models for Mortality Prediction in COVID-19 Patients: a Multi-center Retrospective Study

2022 · 11 Zit. · Journal of Digital Imaging

First Brazilian datathon in critical care

2018 · 8 Zit. · Revista Brasileira de Terapia Intensiva

Operationalising fairness in medical algorithms

2022 · 8 Zit. · BMJ Health & Care Informatics

Promotion, Integration, Management and Processing of Critical Inpatients’ Open Big Data Repositories

2020 · 0 Zit.

Developing and validating multi-modal models for mortality prediction in COVID-19 patients: a multi-center retrospective study

2021 · 0 Zit. · arXiv (Cornell University)

Bridging generative AI and healthcare practice: insights from the GenAI Health Hackathon at Hospital Clínic de Barcelona

2025 · 0 Zit. · BMJ Health & Care Informatics

Toward transparent clinical decision support in the ICU: A multi-window, model-agnostic explainability approach for 72-h mortality prediction using the eICU collaborative research database

2025 · 0 Zit. · Medicina Intensiva (English Edition)