公开(公告)号：WO2022238472A1

公开(公告)日：2022-11-17

申请号：PCT/EP2022/062760

申请日：2022-05-11

Applicant: SIEMENS HEALTHCARE GMBH

Inventor： GUPTA, Ankit ,  DIETRICH, Carsten ,  G, Saravanan ,  VALLINES, Lisa

IPC: G16H50/20 ,  G16H50/30 ,  A61B5/00 ,  G16H10/40 ,  G16H10/60 ,  A61B5/346 ,  G06N3/08 ,  A61B5/412 ,  A61B5/4842 ,  A61B5/7267 ,  G06N3/044

Abstract: A method (200), and a device (100) for determining onset of sepsis is provided. In one aspect, the method (200) includes receiving at least one medical dataset associated with the patient, wherein the medical dataset comprises a plurality of features. Further, the method (200) includes extracting one or more features from the medical dataset, wherein the one or more features comprises parameters associated with the patient which are indicators of sepsis. Additionally, the method (200) includes imputing at least one missing value in the medical dataset, wherein the missing value is associated with the features in the medical dataset. The method (200) also includes determining an output parameter indicative of the onset of sepsis in the patient by using the one or more features and the at least one missing value in the medical dataset as an input for one or more trained machine learning model (700). Furthermore, the method (200) includes generating an alert (ALT) indicating the onset of sepsis in the patient if the output parameter fulfills a pre-defined criterion associated with sepsis.