Machine learning outperformed logistic regression classification even with limit sample size: A model to predict pediatric HIV mortality and clinical progression to AIDS

Sara Domínguez-Rodríguez; Miquel Serna-Pascual; Andrea Oletto; Shaun Barnabas; Peter Zuidewind; Els Dobbels; Siva Danaviah; Osee Behuhuma; Maria Grazia Lain; Paula Vaz; Sheila Fernández-Luis; Tacilta Nhampossa; Elisa Lopez-Varela; Kennedy Otwombe; Afaaf Liberty; Avy Violari; Almoustapha Issiaka Maiga; Paolo Rossi; Carlo Giaquinto; Louise Kuhn; Pablo Rojo; Alfredo Tagarro; on behalf of EPIICAL Consortium

doi:10.1371/journal.pone.0276116

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Open Access

Peer-reviewed

Research Article

Machine learning outperformed logistic regression classification even with limit sample size: A model to predict pediatric HIV mortality and clinical progression to AIDS

Sara Domínguez-Rodríguez,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft

Affiliation Pediatric Infectious Diseases Unit, Fundación para la Investigación Biomédica del Hospital 12 de Octubre, Madrid, Spain

https://orcid.org/0000-0003-3747-9265

⨯
Miquel Serna-Pascual,

Roles Data curation

Affiliation Pediatric Infectious Diseases Unit, Fundación para la Investigación Biomédica del Hospital 12 de Octubre, Madrid, Spain
⨯
Andrea Oletto,

Roles Data curation, Writing – review & editing

Affiliation PENTA Foundation, Padova, Italy

https://orcid.org/0000-0001-9089-4770

⨯
Shaun Barnabas,

Roles Conceptualization, Resources, Writing – review & editing

Affiliation Family Centre For Research With Ubuntu (FAMCRU), Stellenbosch University, Cape Town, South Africa
⨯
Peter Zuidewind,

Roles Investigation, Resources, Writing – review & editing

Affiliation Family Centre For Research With Ubuntu (FAMCRU), Stellenbosch University, Cape Town, South Africa
⨯
Els Dobbels,

Roles Investigation, Resources, Writing – review & editing

Affiliation Family Centre For Research With Ubuntu (FAMCRU), Stellenbosch University, Cape Town, South Africa
⨯
Siva Danaviah,

Roles Investigation, Resources, Writing – review & editing

Affiliation Africa Health Research Institute (AHRI), Durban, South Africa
⨯
Osee Behuhuma,

Roles Investigation, Resources, Writing – review & editing

Affiliation Africa Health Research Institute (AHRI), Durban, South Africa
⨯
Maria Grazia Lain,

Roles Investigation, Resources, Writing – review & editing

Affiliation Fundação Ariel Glaser contra o SIDA Pediátrico, Maputo, Mozambique
⨯
Paula Vaz,

Roles Investigation, Resources, Writing – review & editing

Affiliation Fundação Ariel Glaser contra o SIDA Pediátrico, Maputo, Mozambique
⨯
Sheila Fernández-Luis,

Roles Investigation, Resources, Writing – review & editing

Affiliations Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique, Barcelona Institute for Global Health (ISGLOBAL), Barcelona, Spain
⨯
Tacilta Nhampossa,

Roles Investigation, Resources, Writing – review & editing

Affiliation Barcelona Institute for Global Health (ISGLOBAL), Barcelona, Spain
⨯
Elisa Lopez-Varela,

Roles Investigation, Resources, Writing – review & editing

Affiliation Barcelona Institute for Global Health (ISGLOBAL), Barcelona, Spain

https://orcid.org/0000-0002-6725-5687

⨯
Kennedy Otwombe,

Roles Investigation, Resources, Writing – review & editing

Affiliation Perinatal HIV Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
⨯
Afaaf Liberty,

Roles Investigation, Resources, Writing – review & editing

Affiliation Perinatal HIV Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
⨯
Avy Violari,

Roles Investigation, Resources, Writing – review & editing

Affiliation Perinatal HIV Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
⨯
Almoustapha Issiaka Maiga,

Roles Investigation, Resources, Writing – review & editing

Affiliation Gabriel Toure University Hospital, Bamako, Mali
⨯
Paolo Rossi,

Roles Funding acquisition, Project administration, Supervision, Writing – review & editing

Affiliation Division of Immune and Infectious Diseases, Istituto di Ricovero e Cura a Carattere Scientifico, Ospedale Pediatrico Bambino Gesu, Rome, Italy
⨯
Carlo Giaquinto,

Roles Funding acquisition, Project administration, Resources, Supervision, Writing – review & editing

Affiliation Department of Surgery, Oncology and Gastroenterology, Section of Oncology and Immunology, University of Padova, Padova, Italy
⨯
Louise Kuhn,

Roles Investigation, Writing – review & editing

Affiliation Gertrude H. Sergievsky Center, Vagelos College of Physititlcians and Surgeons, Columbia University Irving Medical Center, New York, NY, United States of America
⨯
Pablo Rojo,

Roles Conceptualization, Investigation, Supervision, Writing – original draft

Affiliation Pediatric Infectious Diseases Unit, Fundación para la Investigación Biomédica del Hospital 12 de Octubre, Madrid, Spain
⨯
Alfredo Tagarro ,

Roles Conceptualization, Supervision, Writing – original draft

* E-mail: alfredotagarro@gmail.com

Affiliations Pediatric Infectious Diseases Unit, Fundación para la Investigación Biomédica del Hospital 12 de Octubre, Madrid, Spain, Universidad Europea de Madrid, Madrid, Spain, Fundación para la Investigación e Innovación Biomédica del Hospital Universitario Infanta Sofía, Hospital Universitario Infanta Sofía, San Sebastián de los Reyes, Madrid, Spain

https://orcid.org/0000-0003-2860-3455

⨯
[ ... ],
on behalf of EPIICAL Consortium

¶Membership of the EPIICAL Consortium is provided in the Acknowledgments.
⨯
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Machine learning outperformed logistic regression classification even with limit sample size: A model to predict pediatric HIV mortality and clinical progression to AIDS

Sara Domínguez-Rodríguez,
Miquel Serna-Pascual,
Andrea Oletto,
Shaun Barnabas,
Peter Zuidewind,
Els Dobbels,
Siva Danaviah,
Osee Behuhuma,
Maria Grazia Lain,
Paula Vaz

Published: October 14, 2022
https://doi.org/10.1371/journal.pone.0276116

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HIV
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Antiretroviral therapy
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AIDS
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Machine learning
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