Differences

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--- documentation:software:atlas:prediction [2017/10/17 15:22] – 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 4: / Line 10: @@
   * Random forest
   * k-nearest neighbors
-This feature can be accessed by clicking on the Prediction menu item.
-{{:documentation:software:atlas:atlas_plp.png?800|}}
 The ATLAS prediction feature uses the R package PatientLevelPrediction that builds patient level predictive models using data in Common Data Model format.
@@ Line 20: / Line 22: @@
   * Supported outcome models are logistic, Poisson, and survival (time to event).
-There are options for inputs in the ATLAS prediction page.
+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|}}
+{{:documentation:software:atlas:atlas_plp_details.png?800|}}
-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
+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