Exploring the influence of age on the causes of death in advanced nasopharyngeal carcinoma patients undergoing chemoradiotherapy using machine learning methods - Zhang, Mengni; Zhang, Shipeng; Ao, Xudong; Liu, Lisha; Peng, Shunlin (Scientific reports, 2025)
Keywords: 631/67/1059/99; 631/67/70; Adult; Age; Age Factors; Age groups; Aged; Cancer; Cardiovascular diseases; Cause of Death; Chemoradiotherapy; Chemotherapy; Epidemiology; Family income; Fatalities; Female; Histology; Humanities and Social Sciences; Humans; Learning algorithms; Machine Learning; Machine learning models; Male; Marital status; Medical prognosis; Metastases; Metastasis; Middle Aged; multidisciplinary; Nasopharyngeal carcinoma; Nasopharyngeal Carcinoma - mortality; Nasopharyngeal Carcinoma - pathology; Nasopharyngeal Carcinoma - therapy; Nasopharyngeal Neoplasms - mortality; Nasopharyngeal Neoplasms - pathology; Nasopharyngeal Neoplasms - therapy; Patients; Probability learning; Radiation therapy; Science; Science (multidisciplinary); Support vector machines; Survival; Throat cancer; Tumors; Variables; Nasopharyngeal carcinoma; Machine learning models; Chemoradiotherapy; Cause of death; Age