Clinical eHealth

Open access

ISSN: 2588-9141

Clinical eHealth

Open access

Clinical eHealth (CEH) is a peer reviewed journal devoted to publishing clinically relevant and scientifically sound research papers on eHealth and medical Internet of Things (IoT), from basic researc...

Clinical eHealth (CEH) is a peer reviewed journal devoted to publishing clinically relevant and scientifically sound research papers on eHealth and medical Internet of Things (IoT), from basic research to clinical applications. The journal provides a platform for exchanging ideas on eHealth, IoT and telemedicine, and aims to play an important role in the development and improvement of eHealth. Papers related to information technology, IoT, clinical research, primary care, public health and implementation science of eHealth are suited to this journal. Areas of particular interest include, but are not limited to:

  • Clinical science in eHealth
    • Clinical trials, surveys, blood/tissue sampling, systematic reviews, meta-analyses;

  • Life, social and psychosocial aspects in eHealth

    • Self-management, persuasive design, serious gaming, biological research, physiology, social sciences and humanities;

  • Internet technology of eHealth

    • Internet of Things (IoT), computer science and engineering, telecommunication networks, software development, digital imaging and multimedia, Internet demographics, security and confidentiality issues;

  • eHealth standardization

    • Standardization activities, technology development;

  • Implementation science in eHealth

    • Implications on sensors technologies, big data management, future internet design for various eHealth use cases, such as smart cities, smart environments, smart homes;

  • eHealth system architecture

    • Things-centric, data-centric, service-oriented eHealth architecture;

  • eHealth services and application

    • eHealth service middleware, eHealth application programming interface, eHealth application design, eHealth trials/experiments

  • eHealth education and practice

    • eHealth introduction, demands, impacts, implications, education, social impact, operation and practice in areas such as healthcare, logistics and transport.

  • Innovation technique

    • Assist clinical diagnosis and difficult differetiation
    • Discovery mechanism of rare diseases

Clinical eHealth is an Open Access journal, welcoming a wide range of article types including research papers, review articles, practice guidelines, product reviews and original software publications.

Society affiliation

International Associate for Metaverse in Medicine(IAMM) was founded on February 2022. The mission of the association is to provide specialized services for patient care, education, and promotion of Metaverse in Medicine (MM) research and innovation, prevention, prediction, personalized, participatory, and precision medicine, by supporting health se...

International Associate for Metaverse in Medicine(IAMM) was founded on February 2022. The mission of the association is to provide specialized services for patient care, education, and promotion of Metaverse in Medicine (MM) research and innovation, prevention, prediction, personalized, participatory, and precision medicine, by supporting health services with IAMM technology for international doctors, engineers, and scientists.
The aims of the association is to: (1) promote common interests and friendship among international healthcare professionals; (2) communicate information; (3) exchange experiences; (4) solve health problems; (5) assist patients; (6) publicize award and funding opportunities; (7) encourage communication with other scientists and medical professionals; (8) establish strong international cooperation with researchers, advocate for tobacco use reduction policies, and conduct research on diseases related to cigarette smoke.
IAMM homepage: https://en.iamm.org.cn/

An anatomization on breast cancer detection and diagnosis employing multi-layer perceptron neural network (MLP) and Convolutional neural network (CNN)

Expert consensus on the metaverse in medicine

Comparative anatomization of data mining and fuzzy logic techniques used in diabetes prognosis

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Latest News

Clinical eHealth welcomes one new editorial board member

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Clinical eHealth welcomes five new Editorial Board Members

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