Robotics & Machine Learning Daily News2024,Issue(Dec.3) :84-84.

Nanchang University Reports Findings in Chronic Pain (Predicting frailty in olde r patients with chronic pain using explainable machine learning: A cross-section al study)

南昌大学报告慢性疼痛的发现(使用可解释机器学习预测老年慢性疼痛患者的虚弱:一项横断面研究)

Robotics & Machine Learning Daily News2024,Issue(Dec.3) :84-84.

Nanchang University Reports Findings in Chronic Pain (Predicting frailty in olde r patients with chronic pain using explainable machine learning: A cross-section al study)

南昌大学报告慢性疼痛的发现(使用可解释机器学习预测老年慢性疼痛患者的虚弱:一项横断面研究)

扫码查看

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-肌肉骨骼疾病和条件的新研究-慢性疼痛是主题一份报告。根据NewsRx编辑从南昌发回的新闻报道,研究表明:“虚弱在患有慢性疼痛的老年人中很常见,早期诊断至关重要。”预防跌倒、残疾、痴呆等不良后果。然而,有效的识别工具这一人群的脆弱性仍然有限。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Musculoskeletal Diseas es and Conditions - Chronic Pain is the subjectof a report. According to news r eporting out of Nanchang, People’s Republic of China, by NewsRx editors,researc h stated, “Frailty is common among older adults with chronic pain, and early ide ntification is crucialin preventing adverse outcomes like falls, disability, an d dementia. However, effective tools for identifyingfrailty in this population remain limited.”

Key words

Nanchang/People’s Republic of China/As ia/Chronic Pain/Cyborgs/Emerging Technologies/Machine Learning/Musculoskele tal Diseases and Conditions/Risk and Prevention

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文