This paper is in the following e-collection/theme issue:

Discretionary Corrigenda (1)

Published on in Vol 16 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58453, first published .
Correction: Machine Learning Model for Predicting Mortality Risk in Patients With Complex Chronic Conditions: Retrospective Analysis

Correction: Machine Learning Model for Predicting Mortality Risk in Patients With Complex Chronic Conditions: Retrospective Analysis

Correction: Machine Learning Model for Predicting Mortality Risk in Patients With Complex Chronic Conditions: Retrospective Analysis

Authors of this article:

Guillem Hernández Guillamet1, 2 Author Orcid Image ;   Ariadna Ning Morancho Pallaruelo2 Author Orcid Image ;   Laura Miró Mezquita1, 2 Author Orcid Image ;   Ramón Miralles3, 4 Author Orcid Image ;   Miquel Àngel Mas3, 4 Author Orcid Image ;   María José Ulldemolins Papaseit5, 6 Author Orcid Image ;   Oriol Estrada Cuxart1, 2 Author Orcid Image ;   Francesc López Seguí2, 7 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

    Corrigenda and Addenda

    1Research Group on Innovation, Health Economics and Digital Transformation, Institut Germans Trias i Pujol, Badalona, Spain

    2Hospital Germans Trias i Pujol, Institut Català de la Salut, Badalona, Spain

    3Direcció Clínica Territorial de Cronicitat Metropolitana Nord, Institut Català de la Salut, Badalona, Spain

    4Department of Geriatrics, Hospital Germans Trias i Pujol, Badalona, Spain

    5Direcció d’Atenció Primària Metropolitana Nord, Institut Català de la Salut, Badalona, Spain

    6Servei d’Atenció Primària Barcelonès Nord, Institut Català de la Salut, Barcelona, Spain

    7Chair in ICT and Health, Centre for Health and Social Care Research (CESS), University of Vic - Central University of Catalonia (UVic-UCC), Vic, Spain

    Corresponding Author:

    Francesc López Seguí, MSc, PhD

    Chair in ICT and Health, Centre for Health and Social Care Research (CESS)

    University of Vic - Central University of Catalonia (UVic-UCC)

    Carrer Miquel Martí i Pol, 1

    Vic, 08500

    Spain

    Phone: 34 938863342

    Email: francesc.lopez.segui@gmail.com



    In “Machine Learning Model for Predicting Mortality Risk in Patients With Complex Chronic Conditions: Retrospective Analysis” (Online J Public Health Inform 2023;15:e52782) the authors noted one error.

    The Corresponding Author’s address previously appeared as:

    Chair in Palliative Care, Centre for Health and Social Care Research
    University of Vic - Central University of Catalonia
    Carrer Miquel Martí i Pol, 1
    Vic, 08500
    Spain

    This has been changed to:

    Chair in ICT and Health, Centre for Health and Social Care Research (CESS)
    University of Vic - Central University of Catalonia (UVic-UCC)
    Carrer Miquel Martí i Pol, 1
    Vic, 08500
    Spain

    The correction will appear in the online version of the paper on the JMIR Publications website on March 21, 2024, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

    This is a non–peer-reviewed article. submitted 15.03.24; accepted 15.03.24; published 21.03.24.

    Copyright

    ©Guillem Hernández Guillamet, Ariadna Ning Morancho Pallaruelo, Laura Miró Mezquita, Ramón Miralles, Miquel Àngel Mas, María José Ulldemolins Papaseit, Oriol Estrada Cuxart, Francesc López Seguí. Originally published in the Online Journal of Public Health Informatics (https://ojphi.jmir.org/), 21.03.2024.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Online Journal of Public Health Informatics, is properly cited. The complete bibliographic information, a link to the original publication on https://ojphi.jmir.org/, as well as this copyright and license information must be included.