Using Machine Learning Applied to Real-World Healthcare Data for Predictive Analytics: An Applied Example in Bariatric Surgery
On 23 May, 2023 By admin 0 Comments
Objectives: Laparoscopic metabolic surgery (MxS) can lead to remission of type 2 diabetes (T2D); however, treatment
response to MxS can be heterogeneous. Here, we demonstrate an open-source predictive analytics platform that applies
machine-learning techniques to a common data model; we develop and validate a predictive model of antihyperglycemic
medication cessation (validated proxy for A1c control) in patients with treated T2D who underwent MxS.