Robotics & Machine Learning Daily News2024,Issue(MAY.30) :39-40.

Cancer Hospital Reports Findings in Post-Operative Complications (Personalized P rediction of Postoperative Complication and Survival Among Colorectal Liver Meta stases Patients Receiving Simultaneous Resection Using Machine Learning Approach es: ...)

Robotics & Machine Learning Daily News2024,Issue(MAY.30) :39-40.

Cancer Hospital Reports Findings in Post-Operative Complications (Personalized P rediction of Postoperative Complication and Survival Among Colorectal Liver Meta stases Patients Receiving Simultaneous Resection Using Machine Learning Approach es: ...)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Post-Operative Complic ations is the subject of a report. According to news reporting out of Beijing, P eople's Republic of China, by NewsRx editors, research stated, "To predict clini cal important outcomes for colorectal liver metastases (CRLM) patients receiving colorectal resection with simultaneous liver resection by integrating demograph ic, clinical, laboratory, and genetic data. Random forest (RF) models were devel oped to predict postoperative complications and major complications (binary outc omes), as well as progression-free survival (PFS) and overall survival (OS) (tim e-to-event outcomes) of the CRLM patients based on data from two hospitals."

Key words

Beijing/People's Republic of China/Asi a/Colorectal Research/Cyborgs/Emerging Technologies/Gastroenterology/Health and Medicine/Machine Learning/Post- Operative Complications

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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