eHealth Management Platform for Screening and Prediction of Down’s Syndrome in the Republic of Panama

Journals Menu

Follow SCIRP

ISSN Print: 2167-9517
ISSN Online: 2167-9525
www.scirp.org/journal/etsn
E-mail: etsn@scirp.org

"eHealth Management Platform for Screening and Prediction of Down’s Syndrome in the Republic of Panama"
written by Juan Saldaña, Miguel Vargas-Lombardo,
published by E-Health Telecommunication Systems and Networks, Vol.3 No.3, 2014

has been cited by the following article(s):

[1]	Information and Communications Technologies Health Projects in Panama: A Systematic Review and their Relation with Public Policies
	2017

[2]	Precisión de los métodos estadísticos para la detección del síndrome de Down en mujeres panameñas
	2017

[3]	Análisis de las políticas y evaluación de impacto del uso de tecnologías sanitarias en Panamá
	2017

[4]	Mejorando la predicción del síndrome de Down mediante un modelo de clasificación de datos médicos inteligente-Caso de Estudio Improving Downs …
	2016

[5]	Ubiquitous and ambient-assisted living eHealth platforms for Down's syndrome and palliative care in the Republic of Panama: A systematic review.
	Health informatics journal, 2016

[6]	Mejorando la predicción del síndrome de Down mediante un modelo de clasificación de datos médicos inteligente-Caso de Estudio
	2016

[7]	Ubiquitous and ambient-assisted living eHealth platforms for Down's syndrome and palliative care in the Republic of Panama: A systematic review
	2016

[8]	Framework Based on Ontologies for Palliative Care of Patients with Breast Cancer
	Applied Medical Informatics, 2015

[9]	Ubiquitous and Ambient Assisted Living eHealth Platforms for the Republic of Panama: Two Cases of Study
	Ambient Intelligence for Health, 2015

[10]	Modelado formal de la metodología para la predicción de pacientes con Síndrome de Down en Panamá
	2015

Follow SCIRP

[1]	Information and Communications Technologies Health Projects in Panama: A Systematic Review and their Relation with Public Policies Journal of Medical Systems, 2017 DOI:10.1007/s10916-017-0755-y

[2]	Ambient Intelligence for Health Lecture Notes in Computer Science, 2015 DOI:10.1007/978-3-319-26508-7_14