Grégory Ninot^1,2,*, Estelle Guerdoux^1,2, François Carbonnel¹, Kerstin Faravel², Ludovic Ismael¹, Fanny Leenhardt², Béatrice Lognos¹, Caroline Perrier², Laurent Philibert², Boris Tronc¹, Marie Viala²

Oncologie, Vol.24, No.4, pp. 605-612, 2022, DOI:10.32604/oncologie.2022.024558 - 31 December 2022

Abstract Une étude rétrospective observationnelle réalisée aux États-Unis montre une réduction de la survie de patients traités pour un cancer du sein, de la prostate, du poumon et colorectal en cas de déclaration d’usage de thérapies complémentaires (TC). Nous avons voulu vérifier ce résultat auprès d’une population française de 636 patients diagnostiqués des mêmes types de cancers et traités consécutivement par chimiothérapie orale dans un établissement hospitalier durant trois ans. Un entretien par un pharmacien en amont de l’administration d’une chimiothérapie orale a permis d’identifier les TC utilisées par les patients. Nous avons comparé la survie More >

Nithya Rekha Sivakumar^1,*, Sara Abdelwahab Ghorashi¹, Faten Khalid Karim¹, Eatedal Alabdulkreem¹, Amal Al-Rasheed²

CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 6253-6267, 2022, DOI:10.32604/cmc.2022.029266 - 28 July 2022

Abstract Mobile clouds are the most common medium for aggregating, storing, and analyzing data from the medical Internet of Things (MIoT). It is employed to monitor a patient’s essential health signs for earlier disease diagnosis and prediction. Among the various disease, skin cancer was the wide variety of cancer, as well as enhances the endurance rate. In recent years, many skin cancer classification systems using machine and deep learning models have been developed for classifying skin tumors, including malignant melanoma (MM) and other skin cancers. However, accurate cancer detection was not performed with minimum time consumption.… More >

Sabeen Tahir^*, Sheikh Tahir Bakhsh, Rayed AlGhamdi

CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 733-749, 2021, DOI:10.32604/cmc.2020.013261 - 30 October 2020

Abstract Medical Internet of Things (MIoTs) is a collection of small and energyefficient wireless sensor devices that monitor the patient’s body. The healthcare networks transmit continuous data monitoring for the patients to survive them independently. There are many improvements in MIoTs, but still, there are critical issues that might affect the Quality of Service (QoS) of a network. Congestion handling is one of the critical factors that directly affect the QoS of the network. The congestion in MIoT can cause more energy consumption, delay, and important data loss. If a patient has an emergency, then the… More >