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1. 发明申请

WO2022073765A1 DECENTRALIZED TRAINING METHOD SUITABLE FOR DISPARATE TRAINING SETS 审中-公开
公开(公告)号：WO2022073765A1
公开(公告)日：2022-04-14
申请号：PCT/EP2021/076139
申请日：2021-09-23
申请人： KONINKLIJKE PHILIPS N.V.
发明人： JAIN, Anshul , ANAND, Shreya , MOORTHY POOKALA VITTAL, Shiva , BUKHAREV, Aleksandr , VDOVJAK, Richard , SREENIVASAN, Rithesh
IPC分类号： G06N3/04 , G06N20/00 , G06N3/063 , G06N3/08
摘要： Some embodiments are directed to training a model, e.g., a medical model. The training uses multiple model updates received from multiple client systems. At least some of the multiple client train on training sets that indicate values for different features. The model updates are aggregated in an aggregated model, for which feature weights are obtained. The feature weights provide information on the relative importance of the multiple features for the aggregated model's output.

2. 发明申请

WO2022084125A1 FEDERATED LEARNING 审中-公开
公开(公告)号：WO2022084125A1
公开(公告)日：2022-04-28
申请号：PCT/EP2021/078378
申请日：2021-10-14
申请人： KONINKLIJKE PHILIPS N.V.
发明人： ANAND, Shreya , JAIN, Anshul , MOORTHY POOKALA VITTAL, Shiva , BUKHAREV, Aleksandr , VDOVJAK, Richard
IPC分类号： G06N3/04 , G06N3/08 , G06N3/063
摘要： Some embodiments are directed to a federated learning system. A federated model is trained on respective local training datasets of respective multiple edge devices. In an iteration, an edge device obtains a current federated model, determines a model update for the current federated model based on the local training dataset, and sends out the model update. The edge device determines the model update by applying the current federated model to a training input to obtain at least a model output for the training input; if the model output does not match a training output corresponding to the training input, include the training input in a subset of filtered training inputs to be used in the iteration; and determining the model update by training the current federated model on only the subset of filtered training inputs.

3. 发明申请

WO2019206929A2 A METHOD AND DEVICE FOR REAL TIME MONITORING AND PREDICTION OF BILIRUBIN LEVELS AND ASSOCIATED NOTIFICATIONS IN NEONATES 审中-公开
公开(公告)号：WO2019206929A2
公开(公告)日：2019-10-31
申请号：PCT/EP2019/060414
申请日：2019-04-24
申请人： KONINKLIJKE PHILIPS N.V.
发明人： JAIN, Anshul , PAWAR, Pravin , BHAT, Ravindra , ULMAN, Shrutin , SUNDARAMOORYHY, Ravi, Babu , BUSSA, Nagaraju
IPC分类号： A61N5/06 , A61B5/1455
摘要： A phototherapy monitoring device (10) includes a housing (12) configured for attachment to a patient, and a user interfacing device. An optical bilirubin sensor (14) includes one or more light sources (16) operative to generate probe light and arranged on or in the housing such that the probe light is reflected from or transmitted through skin of the patient when the housing is attached to the patient; and one or more photodetectors (18) arranged on or in the housing to detect the probe light reflected from or transmitted through the skin of the patient. At least one electronic processor (28) is disposed on or in the housing and programmed to: continuously generate a current bilirubin level measurement from the detected probe light reflected from or transmitted through the skin of the patient; and control the user interfacing device to generate a notification when the current bilirubin level measurement satisfies a safe bilirubin level.

4. 发明申请

WO2019206929A3 A METHOD AND DEVICE FOR REAL TIME MONITORING AND PREDICTION OF BILIRUBIN LEVELS AND ASSOCIATED NOTIFICATIONS IN NEONATES 审中-公开
公开(公告)号：WO2019206929A3
公开(公告)日：2019-10-31
申请号：PCT/EP2019/060414
申请日：2019-04-24
申请人： KONINKLIJKE PHILIPS N.V.
发明人： JAIN, Anshul , PAWAR, Pravin , BHAT, Ravindra , ULMAN, Shrutin , SUNDARAMOORYHY, Ravi, Babu , BUSSA, Nagaraju
IPC分类号： A61N5/06 , A61B5/1455
摘要： A phototherapy monitoring device (10) includes a housing (12) configured for attachment to a patient, and a user interfacing device. An optical bilirubin sensor (14) includes one or more light sources (16) operative to generate probe light and arranged on or in the housing such that the probe light is reflected from or transmitted through skin of the patient when the housing is attached to the patient; and one or more photodetectors (18) arranged on or in the housing to detect the probe light reflected from or transmitted through the skin of the patient. At least one electronic processor (28) is disposed on or in the housing and programmed to: continuously generate a current bilirubin level measurement from the detected probe light reflected from or transmitted through the skin of the patient; and control the user interfacing device to generate a notification when the current bilirubin level measurement satisfies a safe bilirubin level.

5. 发明申请

WO2018073271A1 SYSTEMS, METHODS, AND APPARATUS FOR LINKING FAMILY ELECTRONIC MEDICAL RECORDS AND PREDICTION OF MEDICAL CONDITIONS AND HEALTH MANAGEMENT 审中-公开
标题翻译：用于连接家庭电子医疗记录以及预测医疗状况和健康管理的系统，方法和设备
公开(公告)号：WO2018073271A1
公开(公告)日：2018-04-26
申请号：PCT/EP2017/076521
申请日：2017-10-17
申请人： KONINKLIJKE PHILIPS N.V.
发明人： JAIN, Anshul , PALANISAMY, Krishnamoorthy , BUSSA, Nagaraju
IPC分类号： G06F19/00
摘要： The embodiments set forth herein relate to systems, methods, and apparatus for using electronic medical records (EMRs) (118, 124, 130, 306, 402, 502) to predict and treat medical conditions. A database (102, 202) of EMR data can be used to compile family trees for different patients. Patterns of medical conditions affecting relatives can be identified and used to predict medical conditions for other relatives. Furthermore, similarities between patients of different family trees (104, 204) can be identified in order to predict and treat medical conditions. In order to accurately predict and treat medical conditions, patient data can be coded to consolidate the amount of patient data available for comparison. Furthermore, coded patient data can be weighted to emphasize data that may be more useful for predicting certain medical conditions.
摘要翻译：这里阐述的实施例涉及用于使用电子医疗记录（EMR）（118,124,130,306,402,502）来预测和治疗医疗状况的系统，方法和设备。 EMR数据的数据库（102,202）可用于为不同患者编译家族树。影响亲属的医疗状况的模式可以被识别并用于预测其他亲属的医疗状况。此外，可以识别不同家族树（104,204）的患者之间的相似性，以预测和治疗医疗状况。为了准确地预测和治疗医疗状况，可以对患者数据进行编码以合并可用于比较的患者数据量。此外，编码的患者数据可以加权以强调可能对预测某些医疗状况更有用的数据。

6. 发明申请

WO2020043610A1 DE-IDENTIFICATION OF PROTECTED INFORMATION 审中-公开
公开(公告)号：WO2020043610A1
公开(公告)日：2020-03-05
申请号：PCT/EP2019/072562
申请日：2019-08-23
申请人： KONINKLIJKE PHILIPS N.V.
发明人： CARLSON, Eric, Thomas , SOROWER, Mohammad, Shahed , SITARAMAN VISWANATHAN, Sreramkumar , MANAKKAPARAMBIL, SIVANANDAN, Sreekanth , JAIN, Anshul , KHUNTIA, Sunil, Ranjan , HE, Ze
IPC分类号： G16H10/60
摘要： The present disclosure is directed to methods and apparatus for centralized de-identification of protected data associated with subjects. In various embodiments, de-identified data may be received (1102) that includes de-identified data set(s) associated with subject(s) that is generated from raw data set(s) associated with the subjects. Each of the raw data set(s) may include identifying feature(s) that are usable to identify the respective subject. At least some of the identifying feature(s) may be absent from or obfuscated in the de-identified data. Labels associated with each of the de-identified data sets may be determined (1104). At least some of the de-identified data sets may be applied (1108) as input across a trained machine learning model to generate respective outputs, which may be compared (1110) to the labels to determine a measure of vulnerability of the de-identified data to re-identification.

7. 发明申请

WO2019002521A1 OBSCURING FACIAL FEATURES OF A SUBJECT IN AN IMAGE 审中-公开
公开(公告)号：WO2019002521A1
公开(公告)日：2019-01-03
申请号：PCT/EP2018/067508
申请日：2018-06-28
申请人： KONINKLIJKE PHILIPS N.V.
发明人： MYSORE SIDDU, Dinesh , PALANISAMY, Krishnamoorthy , CHAUDHURY, Sudipta , JAIN, Anshul , PAWAR, Pravin , BUSSA, Nagaraju
IPC分类号： G06K9/00
摘要： There is provided a computer-implemented method (200) for obscuring one or more facial features of a subject in an image. A head of the subject is detected in the image (202) and a location of one or more facial features of the subject is identified in the image (204). A region of the image to modify is determined based on the location of the one or more facial features (206). The determined region comprises a part of the head on which the one or more facial features are located. The image within the determined region is modified to obscure the one or more facial features (208).

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