首页|First Affiliated Hospital of Sun Yat-sen University Reports Findings in Machine Learning (Machine Learning Model Based on Prognostic Nutritional Index for Predi cting Long-Term Outcomes in Patients With HCC Undergoing Ablation)
First Affiliated Hospital of Sun Yat-sen University Reports Findings in Machine Learning (Machine Learning Model Based on Prognostic Nutritional Index for Predi cting Long-Term Outcomes in Patients With HCC Undergoing Ablation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Guangdong, People’s Repu blic of China, by NewsRx journalists, research stated, “To develop multiple mach ine learning (ML) models based on the prognostic nutritional index (PNI) and det ermine the optimal model for predicting long-term survival outcomes in hepatocel lular carcinoma (HCC) patients after local ablation. From January 2009 to Decemb er 2019, we analyzed data from 848 primary HCC patients who underwent local abla tion.”
GuangdongPeople’s Republic of ChinaA siaCyborgsEmerging TechnologiesMachine Learning
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