公开(公告)号：US20190236497A1

公开(公告)日：2019-08-01

申请号：US16253454

申请日：2019-01-22

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Marcelo Santos ,  Jin Liu ,  Eran Simhon

IPC: G06Q10/04 ,  G06Q10/06 ,  G06N7/00 ,  G16H15/00 ,  G16H10/60

CPC classification number: G06Q10/04 ,  G06N7/00 ,  G06Q10/06393 ,  G16H10/60 ,  G16H15/00 ,  G16H40/20

Abstract: A method for KPI forecasting, comprising: (i) receiving an identification of one or more KPI to be forecast and a forecast horizon; (ii) extracting data received from a database for KPI forecasting; (iii) aggregating the extracted data; (iv) optionally removing one or more outliers from the aggregated data by identifying one or more possible outliers, presenting the outliers to a user, receiving information from the user comprising an identification of outliers, and removing the outliers; (v) fitting training data to a plurality of forecasting models; (vi) identifying a best fit forecasting model using test data; (vii) forecasting, using the best fit model, to generate KPI forecast data; (viii) evaluating the KPI forecast data for accuracy; and (ix) presenting the generated KPI forecast data to the user via a user interface.

公开(公告)号：US20250062022A1

公开(公告)日：2025-02-20

申请号：US18719494

申请日：2022-12-05

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Jin Liu ,  Lucas de Melo Oliveira ,  Irina Waechter-Stehle ,  Nils Thorben Gessert ,  Simon Wehle ,  David Prabhu ,  Parastou Eslami ,  Mathieu De Craene ,  Antoine Olivier

IPC: G16H50/20 ,  G16H10/60 ,  G16H15/00 ,  G16H30/20

Abstract: A computer implemented method for collating patient data for analysis comprises receiving a set of input data comprising a plurality of patient data records, wherein the plural patient data records comprise medical imaging data and at least one other patient data type; and generating a vector for each of the plural patient data records by processing each patient data record using a corresponding encoding algorithm, wherein the encoding algorithm used to generate the vector is selected based on the type of patient data record and wherein the vectors are for use by a machine learning model.