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The side effect profile of Clozapine in real world data of three large mental health hospitals
OBJECTIVE: Mining the data contained within Electronic Health Records (EHRs) can potentially generate a greater understanding of medication effects in the real world, complementing what we know from Randomised control trials (RCTs). We Propose a text mining approach to detect adverse events and medi...
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| Gepubliceerd in: | PLoS One |
|---|---|
| Hoofdauteurs: | , , , , , , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Public Library of Science
2020
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7723266/ https://ncbi.nlm.nih.gov/pubmed/33290433 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0243437 |
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