校正：基于LSTM的COVID-19时间序列的综合注意机制和迁移学习预测方法。

IF 3.4 3区医学 Q1 HEALTH CARE SCIENCES & SERVICES BMC Medical Research Methodology Pub Date : 2025-01-31 DOI:10.1186/s12874-025-02472-x

Bin Hu, Yaohui Han, Wenhui Zhang, Qingyang Zhang, Wen Gu, Jun Bi, Bi Chen, Lishun Xiao

引用次数: 0

摘要图片

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Correction: A prediction approach to COVID-19 time series with LSTM integrated attention mechanism and transfer learning.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

BMC Medical Research Methodology 医学-卫生保健

CiteScore

6.50

自引率

2.50%

发文量

298

审稿时长

3-8 weeks

期刊介绍： BMC Medical Research Methodology is an open access journal publishing original peer-reviewed research articles in methodological approaches to healthcare research. Articles on the methodology of epidemiological research, clinical trials and meta-analysis/systematic review are particularly encouraged, as are empirical studies of the associations between choice of methodology and study outcomes. BMC Medical Research Methodology does not aim to publish articles describing scientific methods or techniques: these should be directed to the BMC journal covering the relevant biomedical subject area.

期刊最新文献

Survival analysis of left-truncated and right-censored HIV data: comparison of Cox regression and alternative models. Hybrid model based on fuzzy logic and classification trees for the prediction of mortality of critical trauma patients: Pre-hospital variables from the RETRAUCI registry. Evaluating search approaches for a network meta-analysis: a case study of Epistemonikos Database of Trials, CENTRAL, and other sources. When patients' voices aren't heard: estimands and statistical methods for handling missing patient-reported outcomes in oncology studies. Estimating causal effects of rare treatments on binary outcomes: addressing sample size requirements and bias correction.