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Identifying the most important data for research in the field of infectious diseases: thinking on the basis of artificial intelligence
5
Zitationen
17
Autoren
2023
Jahr
Abstract
This article identified that structured variables have comprised the most important data in research to generate knowledge in the field of ID. Extracting these data should be a priority when a medical centre intends to start an AI programme for ID. We also documented that the most important unstructured data in this field are those related to clinical manifestations. Such data could easily undergo some structuring with the use of semi-structured medical records focusing on a few symptoms.
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Autoren
- Adrián Téllez Santoyo
- Carlos Lopera
- Andrea Ladino Vásquez
- Ferran Seguí Fernández
- Ignacio Grafiá Pérez
- Mariana Chumbita
- Tommaso Francesco Aiello
- Patricia Monzó
- Olivier Peyrony
- Pedro Puerta‐Alcalde
- Celia Cardozo
- Nicole García-Pouton
- Pedro Castro
- Sara Fernández Méndez
- José María Nicolas Arfelis
- Àlex Soriano
- Carolina García‐Vidal