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

Abstract A retrospective observational study carried out in the United States showed a decrease in survival in patients treated for breast, prostate, lung and colorectal cancer with complementary medicines. We verified this result with a French population of consecutive 636 patients diagnosed with the same cancer and treated with oral chemotherapy in an hospital for three years. An interview by a pharmacist before the administration of oral chemotherapy was made to identify the complementary medicines used by the patients. We compared the overall survival using a log-rank test by stratifying the groups (number of cancers, number of comorbidities, age, sex). The… 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

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. In order to address these… 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

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 life-critical signals must transmit with… More >