Robotics & Machine Learning Daily News2024,Issue(Jun.28) :107-108.

Marmara University Reports Findings in Acute Appendicitis (Predicting severity o f acute appendicitis with machine learning methods: a simple and promising appro ach for clinicians)

马尔马拉大学报告急性阑尾炎的发现(用机器学习方法预测急性阑尾炎的严重程度:临床医生的一种简单而有希望的方法)

Robotics & Machine Learning Daily News2024,Issue(Jun.28) :107-108.

Marmara University Reports Findings in Acute Appendicitis (Predicting severity o f acute appendicitis with machine learning methods: a simple and promising appro ach for clinicians)

马尔马拉大学报告急性阑尾炎的发现(用机器学习方法预测急性阑尾炎的严重程度:临床医生的一种简单而有希望的方法)

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摘要

机器人与机器学习每日新闻-消化系统疾病和状况的新研究-的新闻记者兼新闻编辑-急性阑尾炎是一篇报道的主题。根据NewsRx记者在土耳其伊斯坦布尔的新闻报道,研究表明:“急性阑尾炎(AA)是世界上最常见的外科急症之一。本研究旨在研究6种不同的Machine学习(ML)算法对简单和复杂AA的预测性能。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Digestive System Disea ses and Conditions - Acute Appendicitis is the subject of a report. According to news reporting from Istanbul, Turkey, by NewsRx journalists, research stated, “ Acute Appendicitis (AA) is one of the most common surgical emergencies worldwide . This study aims to investigate the predictive performances of 6 different Mach ine Learning (ML) algorithms for simple and complicated AA.”

Key words

Istanbul/Turkey/Eurasia/Acute Appendi citis/Appendicitis/Cecal Diseases and Conditions/Cyborgs/Digestive System Di seases and Conditions/Emerging Technologies/Gastroenteritis/Gastrointestinal Diseases and Conditions/Health and Medicine/Machine Learning/Surgery

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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