Machine learning for the development of diagnostic models of decompensated heart failure or exacerbation of chronic obstructive pulmonary disease.

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Bibliographic Details
Title: Machine learning for the development of diagnostic models of decompensated heart failure or exacerbation of chronic obstructive pulmonary disease.
Authors: Gálvez-Barrón C; Research Area, Consorci Sanitari Alt Penedès i Garraf, Sant Pere de Ribes-Barcelona, Barcelona, Spain. cgalvez@csapg.cat., Pérez-López C; Research Area, Consorci Sanitari Alt Penedès i Garraf, Sant Pere de Ribes-Barcelona, Barcelona, Spain., Villar-Álvarez F; Department of Pneumology, IIS Fundación Jiménez Díaz, CIBERES, Madrid, Spain., Ribas J; Department of Pneumology, Hospital Universitari de Bellvitge, Barcelona, Spain., Formiga F; Geriatric Unit, Department of Internal Medicine, Hospital Universitari de Bellvitge, Barcelona, Spain., Chivite D; Geriatric Unit, Department of Internal Medicine, Hospital Universitari de Bellvitge, Barcelona, Spain., Boixeda R; Department of Internal Medicine, Hospital de Mataró, Mataró-Barcelona, Spain., Iborra C; Department of Cardiology, IIS Fundación Jiménez Díaz, Madrid, Spain., Rodríguez-Molinero A; Research Area, Consorci Sanitari Alt Penedès i Garraf, Sant Pere de Ribes-Barcelona, Barcelona, Spain.
Source: Scientific reports [Sci Rep] 2023 Aug 05; Vol. 13 (1), pp. 12709. Date of Electronic Publication: 2023 Aug 05.
Publication Type: Clinical Trial; Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:2045-2322
DOI:10.1038/s41598-023-39329-6