公开(公告)号：US20230131099A1

公开(公告)日：2023-04-27

申请号：US17508699

申请日：2021-10-22

Applicant: SAP SE

Inventor： Sai Hareesh Anamandra ,  Kavitha Krishnan ,  Rohit Jalagadugula ,  Parthasarathy Menon ,  Aditi D'Souza ,  Shrusti Mohanty ,  Lingyun Bu ,  Vinay George Roy

IPC: G06Q10/06 ,  G06N5/04 ,  G16H50/70 ,  G16H50/20 ,  G06Q10/10 ,  A61B5/11 ,  A61B5/0205 ,  A61B5/024 ,  A61B5/00

Abstract: A method may include training one or more machine learning models to predict a decline in employee performance. The machine learning models may be trained in a federated manner to avoid the exchange of personal data. The trained machine learning models may be applied to data associated with an employee that corresponds to one or more leading indicators of employee burnout. In response to the trained machine learning models predicting a decline in the performance of the employee, the root causes of the predicted decline in the performance of the employee may be identified by applying an explainability algorithm such as Shapley Additive Explanations (SHAP). A report including a corrective action for the predicted decline in employee performance may be generated based on the root causes. Related systems and computer program products are also provided.