Affiliated Hospital of Putian University Reports Findings in Squamous Cell Carci noma (Comparison of machine learning methods for Predicting 3-Year survival in e lderly esophageal squamous cancer patients based on oxidative stress)
Affiliated Hospital of Putian University Reports Findings in Squamous Cell Carci noma (Comparison of machine learning methods for Predicting 3-Year survival in e lderly esophageal squamous cancer patients based on oxidative stress)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Squamous Ce ll Carcinoma is the subject of a report.According to news reporting originating from Fujian, People’s Republic of China, by NewsRx correspondents,research sta ted, “Oxidative stress process plays a key role in aging and cancer; however, cu rrently,there is paucity of machine-learning model studies investigating the re lationship between oxidative stressand prognosis of elderly patients with esoph ageal squamous cancer (ESCC). This study included elderlypatients with ESCC who underwent curative ESCC resection surgery continuously from January 2013 toDec ember 2020 and were stratified into the training and external validation cohorts .”
Key words
Fujian/People’s Republic of China/Asia/Biomarkers/Cancer/Cyborgs/Diagnostics and Screening/Emerging Technologies/Health and Medicine/Machine Learning/Oncology/Squamous Cell Carcinoma/Suppo rt Vector Machines
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