Predicting COPD readmissions: a novel 2e index with traditional regression and machine-learning approaches.

IF 3.2 3区医学 Q1 MEDICINE, GENERAL & INTERNAL

Internal and Emergency Medicine Pub Date : 2024-11-09 DOI:10.1007/s11739-024-03816-z

Chiat Qiao Liew, Yen-Pin Chen, Jun-Wan Gao, Chia-Hsin Ko, Chu-Lin Tsai

引用次数: 0

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预测慢性阻塞性肺病的再入院情况：采用传统回归和机器学习方法的新型 2e 指数。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Internal and Emergency Medicine 医学-医学：内科

CiteScore

7.20

自引率

4.30%

发文量

258

审稿时长

6-12 weeks

期刊介绍： Internal and Emergency Medicine (IEM) is an independent, international, English-language, peer-reviewed journal designed for internists and emergency physicians. IEM publishes a variety of manuscript types including Original investigations, Review articles, Letters to the Editor, Editorials and Commentaries. Occasionally IEM accepts unsolicited Reviews, Commentaries or Editorials. The journal is divided into three sections, i.e., Internal Medicine, Emergency Medicine and Clinical Evidence and Health Technology Assessment, with three separate editorial boards. In the Internal Medicine section, invited Case records and Physical examinations, devoted to underlining the role of a clinical approach in selected clinical cases, are also published. The Emergency Medicine section will include a Morbidity and Mortality Report and an Airway Forum concerning the management of difficult airway problems. As far as Critical Care is becoming an integral part of Emergency Medicine, a new sub-section will report the literature that concerns the interface not only for the care of the critical patient in the Emergency Department, but also in the Intensive Care Unit. Finally, in the Clinical Evidence and Health Technology Assessment section brief discussions of topics of evidence-based medicine (Cochrane’s corner) and Research updates are published. IEM encourages letters of rebuttal and criticism of published articles. Topics of interest include all subjects that relate to the science and practice of Internal and Emergency Medicine.