Información de la conferencia

Healthcom 2026: International Conference on e-Health Networking, Applications and Services

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Día de Entrega:
2026-06-08
Fecha de Notificación:
2026-08-03
Fecha de conferencia:
2026-10-19
Ubicación:
New York City, New York, USA
ICORE: C   QUALIS: B4   Vistas: 31946   Seguidores: 5   Asistentes: 4

Índice Conference Partner (CP-I)

48,8 / 100
Puesto n.º 1.848 de 5.682 congresos · 33% superior

N.º 44 de 183 en Bioinformática e informática de la salud N.º 269 de 864 en Redes y comunicaciones

Reconocimiento académico (35%)
58
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Atención de la comunidad (10%)
33
Integridad del registro público (15%)
35

Datos utilizados: Categorías: ICORE C, QUALIS B4 · Investigadores que lo siguen aquí: 5 · Investigadores que abrieron esta página en los últimos 24 meses: 7

Falta en el registro público: Tasas de aceptación históricas (+4,5) · Ediciones anteriores (+3,0) · Premios al mejor artículo (+2,3)
Los organizadores pueden añadirlo desde esta página tras reclamar el congreso; las puntuaciones se recalculan cada noche. Cómo subir esta puntuación

Confianza 60 %: la parte de la puntuación respaldada por datos observados y no por la línea base neutra. Cómo se calcula esta puntuación · Ver la clasificación · Versión del algoritmo 1.1 · Calculado el 2026-09-20

Solicitud de Artículos

Healthcom 2026 (International Conference on e-Health Networking, Applications and Services) is a ICORE C / QUALIS B4 conference held in New York City, New York, USA on 2026-10-19. The paper submission deadline is 2026-06-08. Acceptance notifications are sent on 2026-08-03.

Signal/Data Processing and Computing For Health Systems Topics include, but are not limited to: AI and machine learning for eHealth Machine and deep learning approaches for Health Data Generative AI for eHealth Fog/Edge/Cloud computing for wearable medical devices Virtual tele-rehabilitation Biometric analysis (gait analysis, eye-tracking, falls, mHealth) Signal processing for virus early detection Bioinformatics AI for precision medicine AI-driven drug discovery and development processes Federated learning for privacy-preserving health data analysis Communications and Networking Topcis include, but are not limited to: Network coding and error detection/correction Delay-tolerant, fault-tolerant, and reliable communication Quality of Service (QoS) and Quality of Experience (QoE) In-hospital networking, body area and cloud-integrated networking B5G-based eHealth solutions Future network designs and deterministic networking for eHealth Semantic communications for eHealth Network security for eHealth Medical, Biomedical & Health Communication Systems Topics include, but are not limited to: Medical imaging, image compression and detection Signal processing, data cleansing, management and mining Smart health and big data IoT for eHealth and telemedicine eHealth platforms Digital platforms for biopharmaceutical clinical trials Devices Topics include, but are not limited to: Integration of medical devices with eHealth platforms Medical device interoperability Wearable and implantable devices Device Security & Safety Wearable devices against virus infection eDrugs: nano-devices in blood stream Healthcare devices and circuits for AI Service & Applications Topics include, but are not limited to: eHealth services/applications for physical and mental health eHealth services/applications for sports and exercise eHealth services/applications for public health (disease prevention, pandemic preparedness) eHealth services/applications for extreme environments mHealth applications and software Quality of experience (QoE) for eHealth services/applications Security, privacy and trust for e-Health services/applications Metaverse and digital twin applications for eHealth Decision support systems for eHealth Real-time genomic counseling and testing Telemedicine services that incorporate genetic counseling and testing Medical Studies Topics include, but are not limited to: eHealth case studies & applications eHealth for neurological diseases EEG/MEG in brain network analysis Telehealth in Obstetrician & Gynecology Cardiology tele-health Integration of transcranial magnetic stimulation (TMS) with EEG/functional magnetic resonance imaging (fMRI)
Última actualización por Dou Sun el

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