Integrating routine blood biomarkers and artificial intelligence for supporting diagnosis of silicosis in engineered stone workers

  1. Sanchez-Morillo, D.
  2. León-Jiménez, A.
  3. Guerrero-Chanivet, M.
  4. Jiménez-Gómez, G.
  5. Hidalgo-Molina, A.
  6. Campos-Caro, A.
Journal:
Bioengineering and Translational Medicine

ISSN: 2380-6761

Year of publication: 2024

Volume: 9

Issue: 6

Type: Article

DOI: 10.1002/BTM2.10694 GOOGLE SCHOLAR lock_openOpen access editor

Sustainable development goals

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SISTEMA DE SOPORTE A LA DECISIÓN CLÍNICA PARA LA DIAGNOSIS, CLASIFICACIÓN, Y PREDICCIÓN DE LA EVOLUCIÓN DE PACIENTES CON SILICOSIS POR PIEDRA ARTIFICIAL [PEOPLE] (2022-2025)
Data source: Scopus