Robotics & Machine Learning Daily News2024,Issue(Nov.20) :56-57.

Fujian University of Traditional Chinese Medicine Reports Findings in Cancer (Ma chine learning-based prediction of 5-year survival in elderly NSCLC patients usi ng oxidative stress markers)

福建中医药大学报告癌症研究结果(基于马学的氧化应激标志物预测老年非小细胞肺癌患者5年生存率)

Robotics & Machine Learning Daily News2024,Issue(Nov.20) :56-57.

Fujian University of Traditional Chinese Medicine Reports Findings in Cancer (Ma chine learning-based prediction of 5-year survival in elderly NSCLC patients usi ng oxidative stress markers)

福建中医药大学报告癌症研究结果(基于马学的氧化应激标志物预测老年非小细胞肺癌患者5年生存率)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于癌症的新研究是一篇报道的主题。根据新闻报道源于中国福建,由NewsRx记者报道,研究称:“氧化应激”在衰老和癌症中起着重要的作用,但目前缺乏对该机的研究老年非小细胞肺癌氧化应激与预后关系的学习模型细胞肺癌(NSCLC)例。本研究包括接受根治性手术的老年非小细胞肺癌患者2012年1月至2018年4月肺癌切除术中氧化应激与肺癌的关系评分(OSS)和预后。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Cancer is the subject of a report. According to news reportingoriginating in Fujian, People’s Republi c of China, by NewsRx journalists, research stated, “Oxidative stressplays a si gnificant role in aging and cancer, yet there is currently a lack of research ut ilizing machinelearning models to examine the relationship between oxidative st ress and prognosis in elderly non-smallcell lung cancer (NSCLC) patients. This study included elderly NSCLC patients who underwent radicallung cancer resectio n from January 2012 to April 2018, exploring the relationship between Oxidative StressScore (OSS) and prognosis.”

Key words

Fujian/People’s Republic of China/Asia/Biomarkers/Cancer/Cyborgs/Diagnostics and Screening/Emerging Technologies/Health and Medicine/Machine Learning/Oncology/Support Vector Machines

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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