JIMHOpen Access

Journal of Intelligent Medicine and Healthcare

ISSN:(print)
ISSN:(online)
Publication Frequency:Quarterly

  • Online
    Articles

    4

  • on board
    editors

    13

About the Journal

Innovation and rapid technological development in intelligent medicine and healthcare impacts profoundly on many aspects of people’s life. It is believed that developing advanced intelligent algorithms and systems has the potential to save medical resources, reduce administrative costs and burdens, improve integration between medical worker and care providers, reduce medical errors, and improve medical and healthcare quality and patient outcomes. Along with the world’s population growing and aging, challenges in medicine and healthcare on a global scale are very apparent. The vision of Journal of Intelligent Medicine and Healthcare is to attack these apparent challenges through the design of algorithms, mathematical methods, systems, devices, and policies for medicine and healthcare in an intelligent way.

  • Open Access

    ARTICLE

    Application Progress of Aromatherapy in Perioperative Patients

    Journal of Intelligent Medicine and Healthcare, Vol.1, No.1, pp. 1-10, 2022, DOI:10.32604/jimh.2022.029848
    Abstract Aromatherapy is a sort of natural therapy for body maintenance using essential oils and vegetable oils extracted from natural plants. It belongs to the category of homeopathy. Aromatherapy combines the dual functions of art and treatment, comprehensively considers the needs of human physiology and psychology, and is widely used in the field of medical care. Aromatherapy is one of the complementary and alternative treatments extensively studied at home and abroad. It has a relieving effect on postoperative pain, sleep disturbance, nausea, vomiting and preoperative anxiety, and is an important intervention in perioperative care. A large number of research data show… More >

  • Open Access

    ARTICLE

    Investigating of Classification Algorithms for Heart Disease Risk Prediction

    Journal of Intelligent Medicine and Healthcare, Vol.1, No.1, pp. 11-31, 2022, DOI:10.32604/jimh.2022.030161
    Abstract Prognosis of HD is a complex task that requires experience and expertise to predict in the early stage. Nowadays, heart failure is rising due to the inherent lifestyle. The healthcare industry generates dense records of patients, which cannot be managed manually. Such an amount of data is very significant in the field of data mining and machine learning when gathering valuable knowledge. During the last few decades, researchers have used different approaches for the prediction of HD, but still, the major problem is the uncertainty factor in the output data and also there is a need to reduce the error… More >

  • Open Access

    ARTICLE

    International Health Classification Family and International Classification of Functioning

    Journal of Intelligent Medicine and Healthcare, Vol.1, No.1, pp. 33-42, 2022, DOI:10.32604/jimh.2022.032093
    Abstract The theoretical framework, terminology and coding of the International Classification of Functioning, Disability and Health for Children and Youth are useful tools for content analysis of physical activity guidelines for children and adolescents. The guidelines for physical activity for children and adolescents at home and abroad have their own policy background and health-related theoretical basis for healthy development. The formulation and implementation of physical activity guidelines for children and adolescents should be based on the national health policy, propose programs suitable for children and adolescents, and guide the implementation of the guidelines. This paper summarizes the use in patients with… More >

  • Open Access

    ARTICLE

    Prognosis Analysis of Lung Cancer Patients

    Journal of Intelligent Medicine and Healthcare, Vol.1, No.1, pp. 43-54, 2022, DOI:10.32604/jimh.2022.032405
    Abstract Lung cancer is now the most common type of cancer worldwide, with high levels of morbidity and mortality. The cost of treatment and emotional stress put a high burden on families and society. This paper aims to collect relevant information and provide predictive analysis for the prognosis of patients with lung cancer. Using the public data of SEER database and the method of machine learning, a model is constructed to predict the five-year survival of patients with lung cancer. The re-coding method is used for data processing, the eigenvalues are re-coded to adapt to the construction of the model, and… More >

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