mlpaff / MIMIC

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Home Page:https://nano-nlp-demo.herokuapp.com/

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MIMIC: Predicting 30-day re-admission rates from EHR data

Unexpected 30-day readmission rates are very costly for hospitals and patients both in terms of healthcare costs and patient outcomes. Identifying patients that may be at risk for bounce-back is important for improving patient outcomes and reducing the burden of cost for these unplanned visits, for both patients and hostpitals.

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Web App:

https://nano-nlp-demo.herokuapp.com/


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