AI in PSVC/PVC diagnosis

NIAID Data Ecosystem2026-05-01 收录

心律失常检测

机器学习医疗诊断

数据链接：

https://data.mendeley.com/datasets/y8dntyxhzc 数据链接链接失效反馈

官方服务：

资源简介：

The diagnostic efficiency of artificial intelligence based 2 hours Holter monitoring in premature ventricular and supraventricular contractions detection.

创建时间：

2024-02-20

AF_Classification_from_a_Short_etc

心电图分类

心律失常检测

2017 年 PhysioNet/CinC 挑战赛旨在鼓励开发算法来分类，从单个短 ECG 导联记录（长度在 30 秒到 60 秒之间），记录是否显示正常窦性心律、心房颤动 (AF)、替代节奏，或者太吵而无法分类。有多种类型的心律失常可按以下分类：起源：房性心律失常、交界性心律失常或室性心律失常。频率：心动过速（成人 > 100 次每分钟 (bpm)）或心动过缓（成人 < 60 bpm）。

OpenXLab90

ECG Fragment Database for the Exploration of Dangerous Arrhythmia

心电图

心律失常检测

The database contains a set of 2 second fragments of ECG signals with rhythm disturbances, which are grouped into separate classes according to the degree of threat to the patient's life. It is intend

DataCite Commons2025-04-07 更新50

Laboratory variables in outpatients with frequent premature complexes.

心律失常检测

心电图监测

Laboratory variables in outpatients with frequent premature complexes.

NIAID Data Ecosystem40

Table_4_Machine learning algorithms assisted identification of post-stroke depression associated biological features.XLSX

中风后抑郁生物标志物

机器学习医疗诊断

ObjectivesPost-stroke depression (PSD) is a common and serious psychiatric complication which hinders functional recovery and social participation of stroke patients. Stroke is characterized by dynami

NIAID Data Ecosystem70

Table_1_Assessment of fractional flow reserve in intermediate coronary stenosis using optical coherence tomography-based machine learning.DOCX

冠状动脉疾病

机器学习医疗诊断

ObjectivesThis study aimed to evaluate and compare the diagnostic accuracy of machine learning (ML)- fractional flow reserve (FFR) based on optical coherence tomography (OCT) with wire-based FFR irres

NIAID Data Ecosystem50

AI in PSVC/PVC diagnosis

资源简介：

相关数据集