Precision identification of high-risk phenotypes and progression pathways in severe malaria without requiring longitudinal data.

Johnston, Iain G; Hoffmann, Till; Greenbury, Sam F; Cominetti, Ornella; Jallow, Muminatou; Kwiatkowski, Dominic; Barahona, Mauricio; Jones, Nick S; Casals-Pascual, Climent

Johnston, Iain G; Hoffmann, Till; Greenbury, Sam F; Cominetti, Ornella; Jallow, Muminatou; Kwiatkowski, Dominic; Barahona, Mauricio; Jones, Nick S; Casals-Pascual, Climent.

Afiliación

Johnston IG; 1Faculty of Mathematics and Natural Sciences, University of Bergen, Bergen, Norway.
Hoffmann T; 2EPSRC Centre for the Mathematics of Precision Healthcare, Imperial College London, London, UK.
Greenbury SF; 3Alan Turing Institute, London, UK.
Cominetti O; 4Department of Mathematics, Imperial College London, London, UK.
Jallow M; 2EPSRC Centre for the Mathematics of Precision Healthcare, Imperial College London, London, UK.
Kwiatkowski D; 4Department of Mathematics, Imperial College London, London, UK.
Barahona M; 5Nestlé Institute of Health Sciences, Lausanne, Switzerland.
Jones NS; 6Medical Research Council Unit, The Gambia, Fajara, P.O. Box 273, Banjul, The Gambia.
Casals-Pascual C; 7Wellcome Trust Centre for Human Genetics, Oxford, UK.

NPJ Digit Med ; 2: 63, 2019.

Article en En | MEDLINE | ID: mdl-31312723

Palabras clave

Applied mathematics; Developing world; Malaria

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: NPJ Digit Med Año: 2019 Tipo del documento: Article País de afiliación: Noruega

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google