会议信息

ICTS4eHealth 2022: IEEE Conference on ICT Solutions for eHealth

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ICTS4eHealth
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截稿日期:
2022-03-22
通知日期:
2022-04-22
会议日期:
2022-06-30
会议地点:
Rhodes Island, Greece
届数:
2
浏览: 11117   关注: 0   参加: 0

会伴指数 (CP-I)

38.0 / 100
全站第 5,411 名 / 共 5,687 个会议 · 前 96%
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
30
社区关注 (10%)
8
资料公开度 (15%)
25

用到的输入: 有据可查的届次:2 · 过去 24 个月打开过本页的研究者:2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后,可直接在这一页补上;分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据,而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-29

征稿

ICTS4eHealth 2022 (IEEE Conference on ICT Solutions for eHealth) is an academic conference held in Rhodes Island, Greece on 2022-06-30. The paper submission deadline is 2022-03-22. Acceptance notifications are sent on 2022-04-22.

Conference topics include (but are not limited to): Cloud computing applications for eHealth Internet of Things (IoT) applications for eHealth Assistive Technology (AT) Networking and Monitoring in Bio-systems Management and Organization of BME Environments Bioinformatics and Computational Biology and Medicine Monitoring of Vital Functions with Sensor and ICT Systems Biosensors and Sensor Networks Advanced Bio-signal Processing Distributed BME Applications Telehealth, Telecare, Telemonitoring, Telediagnostics e-Healthcare, m-Healthcare, x-Health Assisted Living Smartphones in BME Applications Social Networking, Computing and Education for Health Computer Aided Diagnostics Improved Therapeutic and Rehabilitation Methods Intelligent Bio-signal Interpretation Data and Visual Mining for Diagnostics Advanced Medical Visualization Techniques Personalized Medical Devices and Approaches Modelling and Computer Simulations in BME Human Responses in Extreme Environments Other Emerging Topics in BME e-Accessibility, web accessibility Hardware & Software personalized assistive technologies Assistive systems for users who are blind or visually impaired Integration between home-based assistive technologies and patient health data User-centered design of electronic assistive technologies Usability of assistive technologies Computer vision in AT User interfaces for home-based assistive technologies Use of prescription systems and assistive technologies Experience from real world assistive environment deployment Assistive Technologies for Urban Environments Healthcare modeling and simulation Knowledge discovery and decision support Biomedical data processing Wearable devices Sensor-based mHealth applications The use of Soft Computing/Computational Intelligence methods in facing problems in the above topics is highly welcome, although by no way compulsory.
由 Dou Sun 最后更新于

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