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Machine Learning and BMI Improve the Prognostic Value of GAP Index in Treated IPF Patients
Patients affected by idiopathic pulmonary fibrosis (IPF) have a high mortality rate in the first 2–5 years from diagnosis. It is therefore necessary to identify a prognostic indicator that can guide the care process. The Gender-Age-Physiology (GAP) index and staging system is an easy-to-calculate pr...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9952368/ https://www.ncbi.nlm.nih.gov/pubmed/36829744 http://dx.doi.org/10.3390/bioengineering10020251 |