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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. |
The 2018 Briganti nomogram: the probability of lymph node invasion (LNI) for patients diagnosed with MRI-targeted and systematic biopsies
By: T. A. Hueting, On: 2018-10-22
Probability of axillary lymph node metastasis in breast cancer patients
By: S. Qiu, On: 2018-10-19
Fisher: A simple model for predicting postoperative delirium in older patients undergoing elective orthopedic surgery
By: Chung Wong, On: 2018-10-19
A prediction model for underestimation of invasive breast cancer for patients with a biopsy diagnosis of Ductal Carcinoma In Situ (DCIS)
By: pwestenend, On: 2018-10-17
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2018-08-14 |
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2018-06-26 |
New model validation feature: Probability distribution histogram |
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2018-06-21 |
Evidencio at #ESMDM18: Focus on Personalized and Value-Based Health Care |
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2018-06-01 |
Showcasing Evidencio at EPIC Crossing Borders User Group Meeting 2018 |
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2018-02-27 |
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2017-12-28 |
Unlocking the power of Artificial Neural Networks on Evidencio |
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.