Application of Machine Learning Techniques to Identify Data Reliability and Factors Affecting Outcome After Stroke Using Electronic Administrative Records

Overview of attention for article published in Frontiers in Neurology, September 2021

Altmetric Badge

About this Attention Score

Average Attention Score compared to outputs of the same age
Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter: 4 X users

Citations

dimensions_citation: 6 Dimensions

Readers on

mendeley: 44 Mendeley

Summary X Dimensions citations

So far, Altmetric has seen 4 X posts from 4 X users, with an upper bound of 33,694 followers.

RT @AINewsFeed: Frontiers | Application of Machine Learning Techniques to Identify Data Reliability and Factors Af... https://t.co/3isaextB…

28 Sep 2021

Reply Repost Favourite

RT @AINewsFeed: Frontiers | Application of Machine Learning Techniques to Identify Data Reliability and Factors Af... https://t.co/3isaextB…

28 Sep 2021

Reply Repost Favourite

Frontiers | Application of Machine Learning Techniques to Identify Data Reliability and Factors Af... https://t.co/3isaextBzO #ai #ml #dl

28 Sep 2021

Reply Repost Favourite

New Research: Application of Machine Learning Techniques to Identify Data Reliability and Factors Affecting Outcome After Stroke Using Electronic Administrative Records: Aim: To use available electronic administrative records to identify data… https://t.co

27 Sep 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.