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documentation:software:atlas:prediction [2017/10/17 15:16] jhardin |
documentation:software:atlas:prediction [2019/05/30 20:46] (current) anthonysena |
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| + | ===== IMPORTANT NOTE ===== | ||
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| + | All ATLAS documentation has moved to [[https://github.com/OHDSI/ATLAS/wiki|GitHub]]. Please disregard the content below as it is legacy and kept for posterity. | ||
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| + | ===== Prediction (LEGACY) ===== | ||
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| ATLAS has embedded the ability to generate prediction models using machine learning methods for precision medicine and disease interception, including: | ATLAS has embedded the ability to generate prediction models using machine learning methods for precision medicine and disease interception, including: | ||
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| * k-nearest neighbors | * k-nearest neighbors | ||
| - | This feature can be accessed by clicking on the Prediction menu item. The ATLAS prediction feature uses the R package called PatientLevelPrediction that builds patient level predictive models using data in Common Data Model format. | + | The ATLAS prediction feature uses the R package PatientLevelPrediction that builds patient level predictive models using data in Common Data Model format. |
| Features: | Features: | ||
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| * Supported outcome models are logistic, Poisson, and survival (time to event). | * Supported outcome models are logistic, Poisson, and survival (time to event). | ||
| - | A video tutorial is available: https://youtu.be/BEukCbT8UoA. | + | This feature can be accessed by clicking on the Prediction menu item; there are options for inputs in the ATLAS prediction page. |
| - | The github repository with additional details is located here: https://github.com/OHDSI/PatientLevelPrediction | + | {{:documentation:software:atlas:atlas_plp_details.png?800|}} |
| + | Additional details can be found by viewing a video tutorial: https://youtu.be/BEukCbT8UoA. And/or review of the github repository: https://github.com/OHDSI/PatientLevelPrediction | ||