Invention Grant
- Patent Title: Differential diagnosis feature engineering for machine learning applications
-
Application No.: US17389583Application Date: 2021-07-30
-
Publication No.: US12217868B2Publication Date: 2025-02-04
- Inventor: Douglas Graeme Brown
- Applicant: Red Hat, Inc.
- Applicant Address: US NC Raleigh
- Assignee: Red Hat, Inc.
- Current Assignee: Red Hat, Inc.
- Current Assignee Address: US NC Raleigh
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G16H50/20
- IPC: G16H50/20 ; G06F21/55 ; G06N20/00 ; G16H50/70

Abstract:
Methods and systems for improved preparing of received data using differential diagnosis for analysis by machine learning models. In one embodiment, a method is provided that includes receiving an identifier of an event. A plurality of inquiries may be sequentially processed, and subsequent inquiries for processing may be selected based on the responses to earlier inquiries. A tensor may be used to store indications of which inquiries were processed and the responses received to the inquiries. A machine learning model may use the tensor to determine a diagnosis and whether the event is an emergency event requiring intervention. If the event is an emergency event, an intervention may be generated for the emergency event, which may include a computer system taking automatic action to respond to the emergency event.
Public/Granted literature
- US20230036102A1 DIFFERENTIAL DIAGNOSIS FEATURE ENGINEERING FOR MACHINE LEARNING APPLICATIONS Public/Granted day:2023-02-02
Information query