Predicting length of stay from an electronic patient record system: a primary total knee replacement example

Overview of attention for article published in BMC Medical Informatics and Decision Making, April 2014

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In the top 25% of all research outputs scored by Altmetric
High Attention Score compared to outputs of the same age (85th percentile)
High Attention Score compared to outputs of the same age and source (99th percentile)

So far, Altmetric has seen 17 X posts from 11 X users, with an upper bound of 49,489 followers.

How to model length of stay in hospital, a guide: https://t.co/ok20aVUS3h

RT @HWWPotts: How to predict hospital length of stay (particularly from electronic patient records): https://t.co/Ncx2vsHY29 @uclidh @eRese…

RT @HWWPotts: How to predict hospital length of stay (particularly from electronic patient records): https://t.co/Ncx2vsHY29 @uclidh @eRese…

How to predict hospital length of stay (particularly from electronic patient records): https://t.co/Ncx2vsHY29 @uclidh @eResearch_UCL

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