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1. 发明公开

EP3893159A1 TRAINING A CONVOLUTIONAL NEURAL NETWORK 审中-公开
公开(公告)号：EP3893159A1
公开(公告)日：2021-10-13
申请号：EP20168453.7
申请日：2020-04-07
申请人： Koninklijke Philips N.V.
发明人： PATIL, Meru Adagouda , SUSAIYAH, Allmin Pradhap Singh
IPC分类号： G06N3/04 , G06N3/08 , G06N3/12
摘要： A computer implemented methods and apparatus for use in training a convolutional neural network using a training data set. Each item of training data in the training data set comprises numerical data and a corresponding label for the respective numerical data. A method comprises, for each item of training data, converting the numerical data into a matrix, wherein elements in the matrix represent values of features in the numerical data. The method further comprises determining an arrangement for the numerical data in the matrices that decreases a similarity of matrices comprising numerical data with different labels, and/or increases a similarity of matrices comprising numerical data with the same labels, based on one or more measures of entropy.

2. 发明公开

EP3809416A1 A COMPUTER-IMPLEMENTED METHOD, AN APPARATUS AND A COMPUTER PROGRAM PRODUCT FOR PROCESSING A DATA SET 审中-公开
公开(公告)号：EP3809416A1
公开(公告)日：2021-04-21
申请号：EP19203090.6
申请日：2019-10-14
申请人： Koninklijke Philips N.V.
发明人： PATIL, Meru Adagouda , SUSAIYAH, Allmin Pradhap Singh
IPC分类号： G16H10/60
摘要： According to an aspect, there is provided a computer-implemented method for processing a data set, the data set comprising respective data subsets for a plurality of subjects, each data subset comprising a plurality of data entries, each entry comprising respective parameter values for each of a plurality of parameters at a respective time point, wherein for a first data subset relating to a first subject in the plurality of subjects, one or more parameter values for at least a first parameter in the plurality of parameters is missing from the first data subset, the method comprising, for a first missing parameter value in a first data entry in the first data subset (a) determining completeness scores for the first parameter, wherein each completeness score indicates a level of completeness of the data entries in the first data subset for the first parameter and a respective one of the other parameters in the plurality of parameters; (b) determining correlation scores for the first parameter, wherein each correlation score indicates a level of correlation between the parameter values in the data set for the first parameter and the parameter values in the data set for a respective one of the other parameters in the plurality of parameters; (c) determining a subset of the plurality of parameters to use to form regression trees based on the determined completeness scores and the determined correlation scores; (d) forming a plurality of regression trees, wherein each regression tree relates to a respective parameter combination of the first parameter and one or more of the other parameters in the determined subset, and each regression tree is trained to predict a parameter value for the first parameter based on input parameter values for the one or more other parameters in the parameter combination, wherein each regression tree is trained using training data comprising parameter values for the parameters in the respective parameter combination, wherein the training data includes the parameter values in any data entry in the first data subset for which a parameter value is present for all of the parameters in the respective parameter combination; (e) using each regression tree to predict a parameter value for the first parameter based on parameter values in the first data entry for the one or more other parameters in the parameter combination; and (f) combining the predicted parameter values to estimate the first missing parameter value. A corresponding apparatus and computer program product are also provided.

3. 发明公开

EP3567601A1 PERSONALIZED RECOMMENDATIONS FOR HEALTH MANAGEMENT 审中-公开
公开(公告)号：EP3567601A1
公开(公告)日：2019-11-13
申请号：EP18171471.8
申请日：2018-05-09
申请人： Koninklijke Philips N.V.
发明人： VUPPALA, Sunil Kamar , PATIL, Meru Adagouda , BUSSA, Nagaraju
IPC分类号： G16H50/20
摘要： The present disclosure discloses method and personalized recommendation system for providing personalized recommendation for health management. The personalized recommendation system receives information on medical history, one or more available lifestyle parameters of plurality of lifestyle parameters and one or more available vital parameters of plurality of vital parameters, associated with subject and estimates at least one of, one or more non-available lifestyle parameters and one or more non-available vital parameters based on at least one of, one or more available vital parameters and one or more available lifestyle parameters, using trained Neural Network (NN) Classifier. The personalized recommendation system predicts medicine dosage level, changes to be made in lifestyle parameters, indication to visit clinician and details on interaction between medications based on received information and estimation using trained NN classifier and provides personalized recommendation to at least one of subject and clinician associated with subject based on prediction.

4. 发明公开

EP4390962A1 MEDICAL DEVICE FAULT PREDICTION 审中-公开
公开(公告)号：EP4390962A1
公开(公告)日：2024-06-26
申请号：EP22214811.6
申请日：2022-12-20
申请人： Koninklijke Philips N.V.
发明人： SOUBHIK, Paul , PATIL, Meru Adagouda , JOHNSON, Mark Thomas
IPC分类号： G16H40/40
CPC分类号： G16H40/40
摘要： Proposed are concepts pertaining to aiding fault resolution through the identification of new sets of factors that may contribute to the occurrence of one or more faults. In particular, embodiments of the invention propose predicting or deriving un-foreseen faults from existing or known faults based on the associated parameters, events, etc. (i.e. contributing factors). By identifying un-foreseen/un-documented faults, solutions may be identified prior to occurrence of problems, potentially reducing resolution/fixing time, cost and downtime of medical equipment.

5. 发明公开

EP4372623A1 RESOLVING PROBLEMS WITH MEDICAL DEVICES 审中-公开
公开(公告)号：EP4372623A1
公开(公告)日：2024-05-22
申请号：EP22207547.5
申请日：2022-11-15
申请人： Koninklijke Philips N.V.
发明人： PATIL, Meru Adagouda , AGARWAL, Vani , NAIK, Sarif Kumar
IPC分类号： G06N3/09 , G16H40/40 , G06Q10/20
CPC分类号： G06N3/09 , G06N3/0475 , G16H40/40 , G06Q10/20
摘要： Proposed are schemes, solutions, concepts, designs, methods and systems pertaining to assessing solutions for diagnosis and fixing medical devices. Specifically, concepts for generating a machine learning model adapted to output a solution-component graph representing possible actions to be performed on components of a medical device to solve a problem with the medical device are proposed. Solution-component graphs for (new and previously seen) problems with the medical device can be generated, and can be compared to competencies of one or more individuals in order to ascertain the likelihood that the individual(s) can perform the actions to solve the problem. Thus, embodiments of the invention provide an efficient and accurate means for managing the process of diagnosing and fixing a medical device.

6. 发明公开

EP4437559A1 IDENTIFYING THE CAUSE OF A PROBLEM WITH A MEDICAL IMAGING DEVICE 审中-实审
公开(公告)号：EP4437559A1
公开(公告)日：2024-10-02
申请号：EP22818645.8
申请日：2022-11-17
申请人： Koninklijke Philips N.V.
发明人： PATIL, Meru Adagouda , SREENIVASAN, Rithesh , PAUL, Soubhik , GAO, Qi , JOHNSON, Mark Thomas
IPC分类号： G16H40/40 , G16H10/20 , G05B23/02 , G06Q10/00 , G06F40/20 , G07C3/00 , G06F11/22 , G06F11/07 , G06F9/451
CPC分类号： G16H40/40 , G16H10/20 , G16H15/00 , G06F40/20 , G06F9/451

7. 发明公开

EP4184521A1 IDENTIFYING THE CAUSE OF A PROBLEM WITH A MEDICAL IMAGING DEVICE 无效
公开(公告)号：EP4184521A1
公开(公告)日：2023-05-24
申请号：EP21209576.4
申请日：2021-11-22
申请人： Koninklijke Philips N.V.
发明人： PATIL, Meru Adagouda , SREENIVASAN, Rithesh , PAUL, Soubhik , GAO, Qi , JOHNSON, Mark Thomas
IPC分类号： G16H40/40 , G16H10/20 , G05B23/02 , G06Q10/00 , G06F40/20 , G07C3/00 , G06F11/22 , G06F11/07 , G06F9/451
摘要： A mechanism for generating a technical description of a fault of a medical imaging device. A questionnaire for a respondent is tailored based on at least a user profile of the respondent. The response of the respondent to the questionnaire is used to identify features of the fault, which is in turn used to generate and output the fault description.

8. 发明公开

EP4433901A1 MEDICAL IMAGING DEVICE FAULT HANDLING 审中-实审
公开(公告)号：EP4433901A1
公开(公告)日：2024-09-25
申请号：EP22817757.2
申请日：2022-11-17
申请人： Koninklijke Philips N.V.
发明人： GAO, Qi , PATIL, Meru Adagouda , SOUBHIK, Paul , BUSSA, Nagaraju
IPC分类号： G06F11/07
CPC分类号： G06F11/0781 , G06F11/0778

9. 发明公开

EP4315359A1 SYSTEMS AND METHODS FOR SELF-SENSING MOBILE MEDICAL DEVICES TO AUTO-CORRECT AN OUTPUT 审中-实审
公开(公告)号：EP4315359A1
公开(公告)日：2024-02-07
申请号：EP22718650.9
申请日：2022-03-25
申请人： Koninklijke Philips N.V.
发明人： PATIL, Ravindra , PATIL, Meru Adagouda , NAIK, Sarif Kumar , MOHANTY, Sampad Kumar , RAJA, Karthick , BARODIA, Shraddha
IPC分类号： G16H40/63 , G16H30/20 , A61B5/00

10. 发明公开

EP4184328A1 MEDICAL IMAGING DEVICE FAULT HANDLING 无效
公开(公告)号：EP4184328A1
公开(公告)日：2023-05-24
申请号：EP21209234.0
申请日：2021-11-19
申请人： Koninklijke Philips N.V.
发明人： GAO, Qi , PATIL, Meru Adagouda , PAUL, Soubhik , BUSSA, Nagaraju
IPC分类号： G06F11/07
摘要： Proposed are concepts pertaining to aiding fault diagnosis through the consideration of the relevance of different log files to a fault. In particular, embodiments of the invention propose generating predicted relevance scores for different log files, and/or content contained therein. The most relevant log file(s), or parts thereof, may then be prioritized for provision to an engineer, for example.

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