Robotics & Machine Learning Daily News2024,Issue(Nov.18) :76-76.

Sun Yat-sen University Reports Findings in Acute Pancreatitis (Interpretable pre diction of 30-day mortality in patients with acute pancreatitis based on machine learning and SHAP)

中山大学报告急性胰腺炎的发现(基于机器学习和SHAP的急性胰腺炎患者30天死亡率的可解释预测)

Robotics & Machine Learning Daily News2024,Issue(Nov.18) :76-76.

Sun Yat-sen University Reports Findings in Acute Pancreatitis (Interpretable pre diction of 30-day mortality in patients with acute pancreatitis based on machine learning and SHAP)

中山大学报告急性胰腺炎的发现(基于机器学习和SHAP的急性胰腺炎患者30天死亡率的可解释预测)

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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-消化系统疾病和状况的新研究-急性胰腺炎报告的主题根据来自中华人民共和国广东的新闻报道,NewsRx记者s,研究称,“重症急性胰腺炎(SAP)如果不及时治疗可能是致命的。”未经治疗。目的是开发一个机器学习(ML)模型f或预测30天SAP患者的全因死亡风险,并解释最重要的预测因素。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Digestive System Disea ses and Conditions - Acute Pancreatitis isthe subject of a report. According to news reporting from Guangdong, People’s Republic of China, byNewsRx journalist s, research stated, “Severe acute pancreatitis (SAP) can be fatal if left unreco gnizedand untreated. The purpose was to develop a machine learning (ML) model f or predicting the 30-dayall-cause mortality risk in SAP patients and to explain the most important predictors.”

Key words

Guangdong/People’s Republic of China/A sia/Acute Pancreatitis/Cyborgs/Digestive System Diseases and Conditions/Emer ging Technologies/Gastroenterology/Health and Medicine/Machine Learning/Panc reatic Diseases and Conditions/Pancreatitis/Risk and Prevention

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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