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Discover Evidencio
| Convenience | Get all relevant medical prediction models from a single online library, using a web browser or the Evidencio app. |
| Transparency | No black-boxes. Transparent reviewed models, calculations, results and references. |
| Validation | Validate models directly, using your own population data, without the need to store your data online. |
| Efficiency | Why fill out patient characteristics more than once?
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| Integration | Embed prediction models in your own portal, or integrate with your healthcare applications with our API. |
| Convenience | Publish your research results online with ease and without cost. |
| Relevance | Publish your models online for maximum exposure and impact. The quality of 'public' models is secured through a review process. |
| Transparency | No black-boxes. Transparent models, calculations, results and references. |
| Validation | Add weight to your findings
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| Versatility | You are in control
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| Integration | Embed models in your own research portal, or have Evidencio integrate them into healthcare applications for maximum clinical impact. |
| Convenience | Access to a wide range of medical prediction models from a single online library, using a web browser or the Evidencio app. |
| Empowering | Medical insights made comprehensible.
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| Up to date | Prediction models are based on the latest medical research, that may not yet be known to your physician. |
| Disclaimer | Always consult a qualified healthcare professional regarding any medical concerns, including decisions about medications and other treatments. See our full disclaimer. |
Berekening dosering Ruconest bij hereditaire C1- esteraseremmerdeficiëntie.
By: Dr. R.G. Pleijhuis, On: 2020-01-22
The pre-operative risk of surgical site infection after liver resection
By: gdeklein, On: 2020-01-16
3-year survival after resection in patients with pancreatic cancer: updated amsterdam model
By: svanroessel, On: 2020-01-15
3-year survival after resection in patients with pancreatic cancer
By: Dr. M.G. Besselink, On: 2020-01-15
It is our mission to support the transition of prediction models from research into medical practice. We're working towards improving the transparency and quality of the prediction models used in medical practice today.
The Evidencio platform hosts a dynamic, and transparent library filled with clinically relevant medical prediction models. These models are created, validated and used by researchers and medical professionals all over the world.