Utilizing machine learning dimensionality reduction for risk stratification of chest pain patients in the emergency department

Overview of attention for article published in BMC Medical Research Methodology, April 2021

Altmetric Badge

About this Attention Score

In the top 25% of all research outputs scored by Altmetric
Good Attention Score compared to outputs of the same age (78th percentile)
Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

blogs: 1 blog

twitter: 2 X users

Citations

dimensions_citation: 9 Dimensions

Readers on

mendeley: 46 Mendeley

Summary Blogs X Dimensions citations

So far, Altmetric has seen 2 X posts from 2 X users, with an upper bound of 11,230 followers.

@JACCJournals JACC State-of-the-Art Review: Care Models for Acute Chest Pain That Improve Outcomes and Efficiency. Thank you for citing our #MachineLearning study (https://t.co/D7FtXSrnf4) @nliulab https://t.co/1987HwWZRO https://t.co/XAFw6lr9F6

11 Jun 2022

Reply Repost Favourite

"Dimensionality reduction models showed marginal value in improving the prediction of 30-day MACE for ED chest pain patients. Moreover, they are black box models, making them difficult to explain and interpret in clinical practice" https://t.co/4wsWfVUIr6

22 Apr 2021

Reply Repost Favourite

This page shows the most recent X posts that mention this research output.

Click here to find out how to access more activity.