
Competing Causes of Death in the Head and Neck Cancer Population. T., Osasuwa-Peters, N, Christopher, K.M., Arnold, L. Classifier Model Based on Machine Learning Algorithms: Application to Differential Diagnosis of Suspicious Thyroid Nodules Via Sonography. Open Cervical Lymph Node Biopsy for Head and Neck Cancers: Any Benefit? Head Neck Oncol.1:9. on Behalf of the American Society for Radiation Oncology. Evaluation of Classification and Regression Tree (CART) Model in Weight Loss Prediction Following Head and Neck Cancer Radiation Therapy. Advances in Radiation Oncology.3(3): 346–355Īmanda, C., Kousuke, S., Shinyasugiyama, Kazuki, U., John, W. P., Laura, B., Mariah, M., Amanda, Choflet, K. Global, Regional, and National Life Expectancy, All-Cause Mortality, and Cause-Specific Mortality for 249 Causes of Death, 1980-2015: A Systematic Analysis for the Global Burden of Disease Study 2015. Mortality and Causes of Death, Collaborators.


Evaluation of fatigue in Head and Neck Cancer Patients undergoing (intensity modulated radiation theraphy) radiotherapy: A prospective study. Hence, this stacked model can be used for diagnosis of HNC in healthcare systems. It was deduced that both Information Gain with stacked MLR produced higher accuracy that the base learners’ results. The result showed that Information Gain method with stacked LMTwas 95.11%. The predictions of the base learners were combined and passed to meta learners: Logistic Model Tree (LMT). Information Gain was used for selecting important features and three supervised learning algorithms were deployed for the base learners: Decision Tree (C4.5), K-Nearest Neighbors and Naïve Bayes. The data were collected which consists of 1473 instances with 18 features. These challenges prompted the development of a stacked ensemble model for diagnosis of HNC to facilitate prompt referral. There is often late presentation that can result in loss of lives (mortality) especially in Africa due to paucity of specialists. The incidence of HNC is on the increase owing to several factors.

Head and neck cancers (HNC) are indicated when cells grow abnormally.
