Prediction of hospitalisation in young children with pneumonia in Malawi: A machine learning-based approach

Authors

Tsung-Shu Joseph Wu (ORCID: https://orcid.org/0000-0001-6155-9340)
Mohammad A. Makrooni
Cathal Seoighe (ORCID: https://orcid.org/0000-0003-0496-4029)
Mark Ledwidge (ORCID: https://orcid.org/0000-0001-7391-2949)
Master Chisale (ORCID: https://orcid.org/0000-0002-8301-6184)
J. Gallagher (ORCID: https://orcid.org/0000-0002-5564-2890)
Billy Nyambolo
Yasir Bin Nisar (ORCID: https://orcid.org/0000-0002-9720-5699)
Chris Watson
Damien McCarthy (ORCID: https://orcid.org/0009-0008-2632-0332)
Balwani Mbakaya (ORCID: https://orcid.org/0000-0002-4705-9064)
Patrick Staunton

Institutions

University College Dublin (IE)
Queen's University Belfast (GB)
Mzuzu University (MW)
Ollscoil na Gaillimhe – University of Galway (IE)
St. Luke's International University (JP)
World Health Organization (CH)
University of Livingstonia (MW)
Ministry of Health (MW)

Publication Details

Journal: PLoS Medicine
Published: 2026-06-09
DOI: https://doi.org/10.1371/journal.pmed.1005122
Primary Topic: Pneumonia and Respiratory Infections
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Bill and Melinda Gates Foundation
Science Foundation Ireland

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Prediction of hospitalisation in young children with pneumonia in Malawi: A machine learning-based approach

Tsung-Shu Joseph Wu, Mohammad A. Makrooni, Cathal Seoighe, Mark Ledwidge et al.

Jun 9, 2026

PLoS Medicine

Pneumonia and Respiratory Infections

article

Prediction of hospitalisation in young children with pneumonia in Malawi: A machine learning-based approach

Tsung-Shu Joseph Wu, Mohammad A. Makrooni, Cathal Seoighe, Mark Ledwidge, Master Chisale, J. Gallagher, Billy Nyambolo, Yasir Bin Nisar, Chris Watson, Damien McCarthy, Balwani Mbakaya, Patrick Staunton

June 9, 2026article en

Abstract

No abstract available for this paper.

PLoS MedicineVol. 23(6)

University College Dublin (IE), Queen's University Belfast (GB), Mzuzu University (MW), Ollscoil na Gaillimhe – University of Galway (IE), St. Luke's International University (JP), World Health Organization (CH), University of Livingstonia (MW), Ministry of Health (MW)

Bill and Melinda Gates Foundation, Science Foundation Ireland

Good health and well-being

Openalex Percentile: Top 7%

Pneumonia and Respiratory Infections

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Prediction of hospitalisation in young children with pneumonia in Malawi: A machine learning-based approach — Tsung-Shu Joseph Wu, Mohammad A. Makrooni, et al. · PLoS Medicine (2026) | TGRS Research Map | TGRS