Smartphone app for non-invasive detection of anemia using only patient-sourced photos

Anemia has a global prevalence of over 2 billion people and is diagnosed via blood-based laboratory test. Here the authors describe a smartphone app that can estimate hemoglobin levels and detect anemia by analyzing pictures of fingernail beds taken with a smartphone and without the need of any exte...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Robert G. Mannino, David R. Myers, Erika A. Tyburski, Christina Caruso, Jeanne Boudreaux, Traci Leong, G. D. Clifford, Wilbur A. Lam
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/9f3b81595f9348aaadb5c489593f36b8
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:9f3b81595f9348aaadb5c489593f36b8
record_format	dspace
spelling	oai:doaj.org-article:9f3b81595f9348aaadb5c489593f36b82021-12-02T17:32:45ZSmartphone app for non-invasive detection of anemia using only patient-sourced photos10.1038/s41467-018-07262-22041-1723https://doaj.org/article/9f3b81595f9348aaadb5c489593f36b82018-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-07262-2https://doaj.org/toc/2041-1723Anemia has a global prevalence of over 2 billion people and is diagnosed via blood-based laboratory test. Here the authors describe a smartphone app that can estimate hemoglobin levels and detect anemia by analyzing pictures of fingernail beds taken with a smartphone and without the need of any external equipment.Robert G. ManninoDavid R. MyersErika A. TyburskiChristina CarusoJeanne BoudreauxTraci LeongG. D. CliffordWilbur A. LamNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-10 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Robert G. Mannino David R. Myers Erika A. Tyburski Christina Caruso Jeanne Boudreaux Traci Leong G. D. Clifford Wilbur A. Lam Smartphone app for non-invasive detection of anemia using only patient-sourced photos
description	Anemia has a global prevalence of over 2 billion people and is diagnosed via blood-based laboratory test. Here the authors describe a smartphone app that can estimate hemoglobin levels and detect anemia by analyzing pictures of fingernail beds taken with a smartphone and without the need of any external equipment.
format	article
author	Robert G. Mannino David R. Myers Erika A. Tyburski Christina Caruso Jeanne Boudreaux Traci Leong G. D. Clifford Wilbur A. Lam
author_facet	Robert G. Mannino David R. Myers Erika A. Tyburski Christina Caruso Jeanne Boudreaux Traci Leong G. D. Clifford Wilbur A. Lam
author_sort	Robert G. Mannino
title	Smartphone app for non-invasive detection of anemia using only patient-sourced photos
title_short	Smartphone app for non-invasive detection of anemia using only patient-sourced photos
title_full	Smartphone app for non-invasive detection of anemia using only patient-sourced photos
title_fullStr	Smartphone app for non-invasive detection of anemia using only patient-sourced photos
title_full_unstemmed	Smartphone app for non-invasive detection of anemia using only patient-sourced photos
title_sort	smartphone app for non-invasive detection of anemia using only patient-sourced photos
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/9f3b81595f9348aaadb5c489593f36b8
work_keys_str_mv	AT robertgmannino smartphoneappfornoninvasivedetectionofanemiausingonlypatientsourcedphotos AT davidrmyers smartphoneappfornoninvasivedetectionofanemiausingonlypatientsourcedphotos AT erikaatyburski smartphoneappfornoninvasivedetectionofanemiausingonlypatientsourcedphotos AT christinacaruso smartphoneappfornoninvasivedetectionofanemiausingonlypatientsourcedphotos AT jeanneboudreaux smartphoneappfornoninvasivedetectionofanemiausingonlypatientsourcedphotos AT tracileong smartphoneappfornoninvasivedetectionofanemiausingonlypatientsourcedphotos AT gdclifford smartphoneappfornoninvasivedetectionofanemiausingonlypatientsourcedphotos AT wilburalam smartphoneappfornoninvasivedetectionofanemiausingonlypatientsourcedphotos
_version_	1718380205263814656

Smartphone app for non-invasive detection of anemia using only patient-sourced photos

Ejemplares similares