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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
@@ Line 1: / Line 1: @@
+===== IMPORTANT NOTE =====
+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.
+===== Prediction (LEGACY) =====
 ATLAS has embedded the ability to generate prediction models using machine learning methods for precision medicine and disease interception, including:
@@ Line 5: / Line 11: @@
   * 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:
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   * 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