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  • Open Access

    ARTICLE

    Federated Machine Learning Based Fetal Health Prediction Empowered with Bio-Signal Cardiotocography

    Muhammad Umar Nasir1, Omar Kassem Khalil2, Karamath Ateeq3, Bassam SaleemAllah Almogadwy4, Muhammad Adnan Khan5, Muhammad Hasnain Azam6, Khan Muhammad Adnan7,*

    CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 3303-3321, 2024, DOI:10.32604/cmc.2024.048035

    Abstract Cardiotocography measures the fetal heart rate in the fetus during pregnancy to ensure physical health because cardiotocography gives data about fetal heart rate and uterine shrinkages which is very beneficial to detect whether the fetus is normal or suspect or pathologic. Various cardiotocography measures infer wrongly and give wrong predictions because of human error. The traditional way of reading the cardiotocography measures is the time taken and belongs to numerous human errors as well. Fetal condition is very important to measure at numerous stages and give proper medications to the fetus for its well-being. In the current period Machine learning… More >

  • Open Access

    ARTICLE

    Improving Thyroid Disorder Diagnosis via Ensemble Stacking and Bidirectional Feature Selection

    Muhammad Armghan Latif1, Zohaib Mushtaq2, Saad Arif3, Sara Rehman4, Muhammad Farrukh Qureshi5, Nagwan Abdel Samee6, Maali Alabdulhafith6,*, Yeong Hyeon Gu7, Mohammed A. Al-masni7

    CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 4225-4241, 2024, DOI:10.32604/cmc.2024.047621

    Abstract Thyroid disorders represent a significant global health challenge with hypothyroidism and hyperthyroidism as two common conditions arising from dysfunction in the thyroid gland. Accurate and timely diagnosis of these disorders is crucial for effective treatment and patient care. This research introduces a comprehensive approach to improve the accuracy of thyroid disorder diagnosis through the integration of ensemble stacking and advanced feature selection techniques. Sequential forward feature selection, sequential backward feature elimination, and bidirectional feature elimination are investigated in this study. In ensemble learning, random forest, adaptive boosting, and bagging classifiers are employed. The effectiveness of these techniques is evaluated using… More >

  • Open Access

    ARTICLE

    Adaptation of Federated Explainable Artificial Intelligence for Efficient and Secure E-Healthcare Systems

    Rabia Abid1, Muhammad Rizwan2, Abdulatif Alabdulatif3,*, Abdullah Alnajim4, Meznah Alamro5, Mourade Azrour6

    CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 3413-3429, 2024, DOI:10.32604/cmc.2024.046880

    Abstract Explainable Artificial Intelligence (XAI) has an advanced feature to enhance the decision-making feature and improve the rule-based technique by using more advanced Machine Learning (ML) and Deep Learning (DL) based algorithms. In this paper, we chose e-healthcare systems for efficient decision-making and data classification, especially in data security, data handling, diagnostics, laboratories, and decision-making. Federated Machine Learning (FML) is a new and advanced technology that helps to maintain privacy for Personal Health Records (PHR) and handle a large amount of medical data effectively. In this context, XAI, along with FML, increases efficiency and improves the security of e-healthcare systems. The… More >

  • Open Access

    ARTICLE

    A Health State Prediction Model Based on Belief Rule Base and LSTM for Complex Systems

    Yu Zhao, Zhijie Zhou*, Hongdong Fan, Xiaoxia Han, Jie Wang, Manlin Chen

    Intelligent Automation & Soft Computing, Vol.39, No.1, pp. 73-91, 2024, DOI:10.32604/iasc.2024.042285

    Abstract In industrial production and engineering operations, the health state of complex systems is critical, and predicting it can ensure normal operation. Complex systems have many monitoring indicators, complex coupling structures, non-linear and time-varying characteristics, so it is a challenge to establish a reliable prediction model. The belief rule base (BRB) can fuse observed data and expert knowledge to establish a nonlinear relationship between input and output and has well modeling capabilities. Since each indicator of the complex system can reflect the health state to some extent, the BRB is built based on the causal relationship between system indicators and the… More >

  • Open Access

    EDITORIAL

    Promoting Health Democracy

    Favoriser la démocratie en santé

    Sabine Dutheil1, Marie-Frédérique Bacqué2, Kristopher Lamore3,*

    Psycho-Oncologie, Vol.18, No.1, pp. 5-7, 2024, DOI:10.32604/po.2024.050924

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Peer-Support in Oncology: A Qualitative Study of Caregivers Perception in a Cancer Center

    Pair-aidance en Oncologie : Etude Qualitative de la Perception des Soignants dans un Centre de Lutte Contre le Cancer

    Guilhem Paillard-Brunet*, Audrey Couillet

    Psycho-Oncologie, Vol.18, No.1, pp. 23-31, 2024, DOI:10.32604/po.2023.047888

    Abstract This study aimed to gather healthcare professionals’ expectations and reluctance toward peer support in a cancer center. Semistructured interviews were conducted among 12 professionals, recruited in different professions. The interviews were fully transcribed, and a thematic analysis was then conducted. Of the data analysis, three main themes about professionals’ expectations emerged: the need for the strongest support of the patients, to break the isolation in the sickness, and to enhance the care system. Three main themes also emerged from the data analysis about professionals’ reluctances: the limitations related to the intervention of the peer-workers, the psychological issues of the relationship,… More >

  • Open Access

    ARTICLE

    The Impact of Social Support on the Mental Health of Cancer Patients: Evidence from China

    Wanxiu Zhu*

    Psycho-Oncologie, Vol.18, No.1, pp. 69-77, 2024, DOI:10.32604/po.2023.046593

    Abstract Exploring the relationship between social support and the mental health of cancer patients is a vital endeavor for enhancing mental well-being. The objective of this study was to explore the relationship between social support and psychological well-being in cancer patients and to provide new empirical evidence for psychological improvement in cancer patients. This research holds significant practical implications for optimizing China’s public health system and strengthening the development of a healthy China. Using data from the 2018 China Health and Retirement Longitudinal Study (CHARLS) database, we empirically examined the influence of social support on the mental health of cancer patients.… More >

  • Open Access

    ARTICLE

    Assessment of Cancer-Related Fatigue Expression: Comparing the Expression of Fatigue in Patients with a History of Cancer, Patients with Other Chronic Diseases, and Healthy Individuals

    Evaluation de l’expression de la fatigue liée au cancer : comparant l’expression de la fatigue chez les patients atteints de cancer, chez les patients touchés par d’autres maladies chroniques et chez les individus en bonne santé

    Maria Inês Clara1,2,3,*, Maria Cristina Canavarro2,3, Ana Severina4, Susana Ramos4, Carla Rafael4, Ana Allen Gomes1,2,3

    Psycho-Oncologie, Vol.18, No.1, pp. 49-57, 2024, DOI:10.32604/po.2023.044320

    Abstract Aims: We aimed to compare cancer survivors’ fatigue expression with that of the general population and examine psychobiological factors associated with fatigue. Procedure: In this quantitative, transversal study, we analyzed clinical and sociodemographic indicators of 389 participants (68.38% females): 148 cancer survivors on active treatment, 55 disease-free survivors, 75 patients with another chronic disease, and 111 healthy individuals. Results: Fatigue was expressed dissimilarly in patients with a previous history of cancer and participants without a history of cancer. Survivors on active treatment reported significantly higher levels of fatigue than the other clinical status groups. Nonetheless, some level of cancer-related fatigue… More >

  • Open Access

    ARTICLE

    Patients Involved in Funding Research. A Look Back at the Unique Experience of the ECLAIR Working Group of Canceropole CLARA

    Des patients impliqués dans le financement de la recherche. Retour sur l’expérience inédite du groupe de travail ECLAIR du Cancéropôle CLARA

    Julien Biaudet1,*, Lisa Laroussi-Libeault2, Mauricette Michallet3, Laurie Panse2, Raymond Merle4

    Psycho-Oncologie, Vol.18, No.1, pp. 17-22, 2024, DOI:10.32604/po.2023.043536

    Abstract This article aims to share an innovative experience of organizing and funding research involving those most directly affected: patients. The “ECLAIR” working group of the Canceropole Lyon Auvergne-Rhone-Alpes (CLARA) was created at the end of 2020 with the goal of contributing to the development of a call for projects on the patient experience in oncology, which was launched in January 2021. Initially composed of 8 members, including 7 patients, coordinated by a project manager from CLARA, the ECLAIR working group actively participated in drafting the specifications of the call for projects, developing the eligibility criteria for applications, revising the evaluation… More >

  • Open Access

    ARTICLE

    Graduation of Patients at the University: An Innovative Program to Train Patients as Care Partners in Oncology

    La diplomation de patient•es partenaires en oncologie : un dispositif soutenant l’engagement du patient•e en oncologie

    Lennize Pereira Paulo1,2,*, Catherine Tourette-Turgis1,2, Marie-Paule Vannier1,3

    Psycho-Oncologie, Vol.18, No.1, pp. 9-15, 2024, DOI:10.32604/po.2023.042981

    Abstract This article presents the history and challenges of patient graduation, positioning it as a means of supporting patient engagement and user involvement in the healthcare system. A set of laws related to patient rights and healthcare quality allows for the integration of patients into the healthcare system, but they face the unpreparedness of institutions in this new field of practices. Patient graduation requires transformations in the modes of reception and financing of universities, as well as in the pedagogical methods that need to be tailored to the reception and training of individuals in vulnerable situations. The article provides a detailed… More >

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