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Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021

Name: Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021
Creator: PhysioNet
Published: 2026-07-12T01:16:00+08:00

重症监护医学信息数据集2026-07-12 收录

数据链接：

https://physionet.org/content/challenge-2021/数据链接链接失效反馈

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资源简介：

Will Two Do? Varying Dimensions in Electrocardiography: the PhysioNet/Computing in Cardiology Challenge 2021

应用场景：

提供机构：

PhysioNet

血糖监测

可穿戴设备

This study aimed to determine the feasibility and effectiveness of wearable devices in detecting early physiological changes prior to the development of prediabetes [1-3]. The study generated digital

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ReXErr-v1: Clinically Meaningful Chest X-Ray Report Errors Derived from MIMIC-CXR

放射学报告

医疗影像AI

Interpreting medical images and writing radiology reports is a critical yet challenging task in healthcare. Despite their importance, both human-written and AI-generated reports are liable to errors,

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NInFEA: Non-Invasive Multimodal Foetal ECG-Doppler Dataset for Antenatal Cardiology Research

胎儿心电图

产前心脏病学

The development of algorithms for the extraction of the foetal ECG (fECG) from non-invasive recordings is hampered by the lack of publicly-available reference datasets, which could be used to benchmar

DataCite Commons2021-12-16 更新120

VinDr-CXR: An open dataset of chest X-rays with radiologist annotations

医学影像

胸部X光

We describe here a dataset of more than 100,000 chest X-ray scans that were retrospectively collected from two major hospitals in Vietnam. Out of this raw data, we release 18,000 images that were manu

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RadCoref: Fine-tuning coreference resolution for different styles of clinical narratives

共指消解

放射学报告

RadCoref is a small subset of MIMIC-CXR with manually annotated coreference mentions and clusters. The dataset is annotated by a panel of three cross- disciplinary experts with experience in clinical

DataCite Commons2024-01-30 更新130

Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021

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