Robotics & Machine Learning Daily News2024,Issue(Jun.27) :74-75.

Wuhan University of Science and Technology Reports Findings in Abdominal Pain (M achine learning based prediction models for analyzing risk factors in patients w ith acute abdominal pain: a retrospective study)

武汉科技大学报道腹痛研究结果(基于机器学习的急性腹痛危险因素预测模型:回顾性研究)

Robotics & Machine Learning Daily News2024,Issue(Jun.27) :74-75.

Wuhan University of Science and Technology Reports Findings in Abdominal Pain (M achine learning based prediction models for analyzing risk factors in patients w ith acute abdominal pain: a retrospective study)

武汉科技大学报道腹痛研究结果(基于机器学习的急性腹痛危险因素预测模型:回顾性研究)

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摘要

由一位新闻记者兼机器人与机器学习每日新闻编辑每日新闻-胃肠病学的新研究-腹部疼痛是一篇报道的主题。根据NewsRx编辑在武汉的新闻报道,研究表明:“急腹症(AAP)是急诊科(ED)的常见症状,客观、准确的分流至关重要,本研究旨在建立一个基于机器学习的AAP分流预测模型。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Gastroenterology - Abd ominal Pain is the subject of a report. According to news reporting out of Wuhan , People’s Republic of China, by NewsRx editors, research stated, “Acute abdomin al pain (AAP) is a common symptom presented in the emergency department (ED), an d it is crucial to have objective and accurate triage. This study aims to develo p a machine learning-based prediction model for AAP triage.”

Key words

Wuhan/People’s Republic of China/Asia/Abdominal Pain/Cyborgs/Emerging Technologies/Gastroenterology/Health and Me dicine/Machine Learning/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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