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    Prediction model preparation and use for socioeconomic data and missing value prediction
    1.
    发明授权
    Prediction model preparation and use for socioeconomic data and missing value prediction 有权

    公开(公告)号：US11972443B2

    公开(公告)日：2024-04-30

    申请号：US16772425

    申请日：2018-12-24

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： Xin Wang ,  Eran Simhon ,  Reza Sharifi Sedeh ,  Amir Abdolahi ,  Cecilia Meijer

    IPC: G06Q30/00 ,  G06Q30/02 ,  G06Q30/0201

    CPC classification number: G06Q30/02 ,  G06Q30/0201

    Abstract: The present disclosure pertains to a system configured to prepare and use prediction models for socioeconomic data and missing value prediction. Some embodiments may: extract, from received population segment data, a training set of socioeconomic parameter values for each population segment; provide, to a prediction model as input, first parameter values of the respective training set for the prediction of additional parameter values of the training set such that the prediction of the additional parameter values is performed without reliance on the additional parameter values; provide, for each of the training sets, the additional parameter values to the prediction model as reference feedback for the prediction model's prediction of the additional parameter values to train the prediction model; and predict, based on a working set of parameter values for a population segment, additional values for the working set using the prediction model subsequent to its training.

    SYSTEM AND METHOD FOR ADAPTIVE LEARNING FOR HOSPITAL CENSUS SIMULATION
    5.
    发明申请
    SYSTEM AND METHOD FOR ADAPTIVE LEARNING FOR HOSPITAL CENSUS SIMULATION 有权

    公开(公告)号：US20230008936A1

    公开(公告)日：2023-01-12

    申请号：US17856024

    申请日：2022-07-01

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： Lasith Adhikari ,  Chaitanya Kulkarni ,  David Paul Noren ,  Eran Simhon ,  Syamanthaka Balakrishnan ,  Gregory Boverman

    IPC: G16H10/60 ,  G16H15/00 ,  G16H40/20 ,  G16H50/20

    Abstract: A method for performing a demand analysis for a hospital, including: (i) receiving hospital capacity information; (ii) receiving hospital data, the hospital data comprising information on patient admissions, patient discharges, and patient transfers for a previous period of time; (iii) adapting parameters of a machine learning algorithm based on the hospital data; (iv) receiving clinical information about patients currently admitted in the hospital; (v) determining, based on output from the adapted machine learning algorithm and clinical information about the patients currently admitted in the hospital and the hospital capacity information a predicted patient flow for the hospital in real-time; (vi) detecting a deviation between the predicted patient flow and at least one actual data point; and (vii) displaying to at least one user in real-time, the detected deviation for the hospital.

    METHODS AND SYSTEMS FOR PREDICTING AND PREVENTING FREQUENT PATIENT READMISSION
    6.
    发明申请
    METHODS AND SYSTEMS FOR PREDICTING AND PREVENTING FREQUENT PATIENT READMISSION 有权

    公开(公告)号：US20230041051A1

    公开(公告)日：2023-02-09

    申请号：US17879839

    申请日：2022-08-03

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： Luoluo Liu ,  Eran Simhon

    IPC: G16H50/30

    Abstract: A method for presenting a patient frequent readmission recommendation, comprising: (i) receiving patient information comprising a plurality of demographic and/or medical features; (ii) extracting the features from the information; (iii) analyzing the features to determine whether the patient is a frequent readmission patient or is at risk of being a frequent readmission patient; (iv) estimating, if the patient is determined to be a frequent readmission patient, whether the frequent readmission is due to a medical condition and/or a socioeconomic condition, or predicting a frequent readmission risk level if the patient is determined to be at risk of being a frequent readmission patient; (v) generating a recommendation based at least in part on the estimated condition or the frequent readmission risk level, wherein the recommendation comprises a medical intervention and/or a socio-behavioral intervention; and (vi) providing (180) the recommendation via a user interface.

    METHODS AND SYSTEMS FOR DETERMINING AND DISPLAYING DYNAMIC PATIENT READMISSION RISK AND INTERVENTION RECOMMENDATION
    9.
    发明申请
    METHODS AND SYSTEMS FOR DETERMINING AND DISPLAYING DYNAMIC PATIENT READMISSION RISK AND INTERVENTION RECOMMENDATION 有权

    公开(公告)号：US20230068453A1

    公开(公告)日：2023-03-02

    申请号：US17884698

    申请日：2022-08-10

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： Gregory Boverman ,  Eran Simhon ,  David Paul Noren ,  Lasith Adhikari

    IPC: G16H20/00 ,  G16H50/30 ,  G16H40/20

    Abstract: A method for generating and presenting a patient readmission risk using a readmission risk analysis system, comprising: (i) receiving information about the patient comprising a plurality of readmission prediction features; (ii) extracting the plurality of readmission prediction features; (iii) generating an initial readmission risk for the patient for each of a first plurality of different future time periods; (iv) updating the plurality of readmission prediction features with one or more new readmission prediction features; (v) generating, by the trained readmission risk model using the one or more new readmission prediction features, an updated readmission risk; (vi) generating an intervention recommendation based on either the initial readmission risk or on the updated readmission risk for one or more of the plurality of different future time periods; and (vii) displaying a generated readmission risk and/or generated intervention recommendation.

    METHODS AND SYSTEMS FOR DETERMINING AND DISPLAYING PATIENT READMISSION RISK
    10.
    发明申请
    METHODS AND SYSTEMS FOR DETERMINING AND DISPLAYING PATIENT READMISSION RISK 有权

    公开(公告)号：US20230050245A1

    公开(公告)日：2023-02-16

    申请号：US17879806

    申请日：2022-08-03

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： Eran Simhon

    IPC: G16H50/30 ,  G16H10/60 ,  G06N5/02

    Abstract: A method for generating and presenting a patient readmission risk using a readmission risk analysis system, comprising: (i) receiving information about the patient, wherein the information comprises a plurality of readmission prediction features; (ii) extracting the plurality of readmission prediction features from the received information; (iii) analyzing the readmission prediction features to determine whether each of a predetermined list of readmission prediction features are present; (iv) replacing one or more identified missing readmission prediction features with a null value to generate a complete set of readmission prediction features for the patient; (v) analyzing the complete set of readmission prediction features for the patient to generate a readmission risk score; (vi) determining, using a populated lookup table of the readmission risk analysis system, an AUC score; and (vii) displaying the generated readmission risk score and the determined AUC score.

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