The importance of data in Pulmonary Arterial Hypertension: from international registries to Machine Learning. / La importancia de los datos en la hipertensión arterial pulmonar: de los registros internacionales al machine learning.
Med Clin (Barc)
; 162(12): 591-598, 2024 Jun 28.
Article
em En, Es
| MEDLINE
| ID: mdl-38383269
ABSTRACT
Real-world registries have been critical to building the scientific knowledge of rare diseases, including Pulmonary Arterial Hypertension (PAH). In the past 4 decades, a considerable number of registries on this condition have allowed to improve the pathology and its subgroups definition, to advance in the understanding of its pathophysiology, to elaborate prognostic scales and to check the transferability of the results from clinical trials to clinical practice. However, in a moment where a huge amount of data from multiple sources is available, they are not always taken into account by the registries. For that reason, Machine Learning (ML) offer a unique opportunity to manage all these data and, finally, to obtain tools that may help to get an earlier diagnose, to help to deduce the prognosis and, in the end, to advance in Personalized Medicine. Thus, we present a narrative revision with the aims of, in one hand, summing up the aspects in which data extraction is important in rare diseases -focusing on the knowledge gained from PAH real-world registries- and, on the other hand, describing some of the achievements and the potential use of the ML techniques on PAH.
Palavras-chave
Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
Sistema de Registros
/
Aprendizado de Máquina
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Hipertensão Arterial Pulmonar
Limite:
Humans
Idioma:
En
/
Es
Revista:
Med Clin (Barc)
Ano de publicação:
2024
Tipo de documento:
Article