Robotics & Machine Learning Daily News2024,Issue(MAY.8) :73-73.

First Hospital of China Medical University Reports Findings in Adenocarcinoma (D eep learning and machine learning approaches to classify stomach distant metasta tic tumors using DNA methylation profiles)

Robotics & Machine Learning Daily News2024,Issue(MAY.8) :73-73.

First Hospital of China Medical University Reports Findings in Adenocarcinoma (D eep learning and machine learning approaches to classify stomach distant metasta tic tumors using DNA methylation profiles)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Adenocarcin oma is the subject of a report. According to news reporting originating in Sheny ang, People’s Republic of China, by NewsRx journalists, research stated, “Distan t metastasis of cancer is a significant contributor to cancer-related complicati ons, and early identification of unidentified stomach adenocarcinoma is crucial for a positive prognosis. Changes inDNA methylation are being increasingly recog nized as a crucial factor in predicting cancer progression.” The news reporters obtained a quote from the research from the First Hospital of China Medical University, “Within this research, we developed machine learning and deep learning models for distinguishing distant metastasis in samples of sto mach adenocarcinoma based on DNA methylation profile. Employing deep neural netw orks (DNN), support vector machines (SVM), random forest (RF), Naive Bayes (NB) and decision tree (DT), and models for forecasting distant metastasis in stomach adenocarcinoma. The results show that the performance of DNN is better than tha t of other models, AUC and AUPR achieving 99.9 % and 99.5 % respectively.”

Key words

Shenyang/People’s Republic of China/As ia/Adenocarcinoma/Cancer/Cyborgs/Emerging Technologies/Health and Medicine/Machine Learning/Oncology

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文