首页|Fujian Cancer Hospital Reports Findings in Gastric Cancer (Identification of pro gnostic signatures in remnant gastric cancer through an interpretable risk model based on machine learning: a multicenter cohort study)
Fujian Cancer Hospital Reports Findings in Gastric Cancer (Identification of pro gnostic signatures in remnant gastric cancer through an interpretable risk model based on machine learning: a multicenter cohort study)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Gastric Can cer is the subject of a report. According to news reporting originating from Fuj ian, People’s Republic of China, by NewsRx correspondents, research stated, “The purpose of this study was to develop an individual survival prediction model ba sed on multiple machine learning (ML) algorithms to predict survival probability for remnant gastric cancer (RGC). Clinicopathologic data of 286 patients with R GC undergoing operation (radical resection and palliative resection) from a mult i-institution database were enrolled and analyzed retrospectively.” Financial support for this research came from Joint Funds for the innovation of science and Technology, Fujian province.
Fujian, People’s Republic of China, Asia , Cancer, Clinical Research, Clinical Trials and Studies, Cyborgs, Emerging Tech nologies, Gastric Cancer, Gastroenterology, Health and Medicine, Machine Learnin g, Oncology
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