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documentation:software:atlas:prediction [2017/10/17 15:21] 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 PatientLevelPrediction that builds patient level predictive models using data in Common Data Model format. |
- | {{:documentation:software:atlas:atlas_plp.png?800|}} | + | |
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- | The ATLAS prediction feature uses the R package called 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). | ||
- | Additional details can be found by viewing a video tutorial: https://youtu.be/BEukCbT8UoA. Or by review of materials in the github repository: https://github.com/OHDSI/PatientLevelPrediction | + | This feature can be accessed by clicking on the Prediction menu item; there are options for inputs in the ATLAS prediction page. |
+ | {{: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 | ||