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公开(公告)号：US11289203B2
公开(公告)日：2022-03-29
申请号：US16283902
申请日：2019-02-25
Applicant: International Business Machines Corporation
Inventor： Mark Gregory Megerian , Thomas J Eggebraaten , Marie Louise Setnes , John Petri
IPC: G16H50/20 , G06F3/0482
Abstract: A computing system receives a plurality of medical perspectives for each medical treatment option of a plurality of medical treatment options. A machine learning model assigns a weight to each medical perspective for each medical treatment option by determining how often a care provider has agreed with each perspective within the plurality of medical perspectives. The computing system receives a medical treatment option ranking for each of the medical perspectives. The computing system generates a score for each medical perspective as applied to each medical treatment option based on a combination of the weight and the ranking for each medical perspective. The computing system aggregates the scores across the plurality of medical perspectives into an overall score for each medical treatment option.
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公开(公告)号：US11048745B2
公开(公告)日：2021-06-29
申请号：US16015548
申请日：2018-06-22
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Adam T. Clark , Jeffrey K. Huebert , Aspen Payton , John Petri
Abstract: A method, computer system, and computer program product for determining qualities of user favorable photographs are provided. The embodiment may include receiving a plurality of photographs from an electronic device. The embodiment may also include parsing each photograph. The embodiment may further include calculating a favorability value of each photograph. The embodiment may also include determining whether the favorability value of each photograph exceeds a favorability threshold value. The embodiment may further include organizing the received photographs into one or more clusters based on features of each photograph. The embodiment may also include generating a classification model for each cluster.
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公开(公告)号：US20190392039A1
公开(公告)日：2019-12-26
申请号：US16015548
申请日：2018-06-22
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Adam T. Clark , Jeffrey K. Huebert , Aspen Payton , John Petri
IPC: G06F17/30
Abstract: A method, computer system, and computer program product for determining qualities of user favorable photographs are provided. The embodiment may include receiving a plurality of photographs from an electronic device. The embodiment may also include parsing each photograph. The embodiment may further include calculating a favorability value of each photograph. The embodiment may also include determining whether the favorability value of each photograph exceeds a favorability threshold value. The embodiment may further include organizing the received photographs into one or more clusters based on features of each photograph. The embodiment may also include generating a classification model for each cluster.
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Patent Agency Ranking
公开(公告)号：US20200273571A1
公开(公告)日：2020-08-27
申请号：US16283902
申请日：2019-02-25
Applicant: International Business Machines Corporation
Inventor： Mark Gregory Megerian , Thomas J Eggebraaten , Marie Louise Setnes , John Petri
IPC: G16H50/20
Abstract: A computing system receives a plurality of medical perspectives for each medical treatment option of a plurality of medical treatment options. A machine learning model assigns a weight to each medical perspective for each medical treatment option by determining how often a care provider has agreed with each perspective within the plurality of medical perspectives. The computing system receives a medical treatment option ranking for each of the medical perspectives. The computing system generates a score for each medical perspective as applied to each medical treatment option based on a combination of the weight and the ranking for each medical perspective. The computing system aggregates the scores across the plurality of medical perspectives into an overall score for each medical treatment option.
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公开(公告)号：US20190394393A1
公开(公告)日：2019-12-26
申请号：US16015526
申请日：2018-06-22
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Adam T. Clark , Jeffrey K. Huebert , Aspen Payton , John Petri
Abstract: A method, computer system, and computer program product for cognitively coaching a user to take favorable photographs are provided. The embodiment may include determining characteristics of favorable photographs from a favorable photo database using image analysis techniques. The embodiment may also include identifying subjects in a current camera frame. The embodiment may further include identifying characteristics of a photograph from a current camera frame. The embodiment may also include determining similarities or differences between the favorable photographs and the current camera frame. The embodiment may further include generating directions that map a current state of similar characteristics to the favorable photographs.
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公开(公告)号：US11204691B2
公开(公告)日：2021-12-21
申请号：US16268016
申请日：2019-02-05
Applicant: International Business Machines Corporation
Inventor： Mark Gregory Megerian , Thomas J Eggebraaten , Marie Louise Setnes , John Petri , Adam Clark
IPC: G06F3/0484 , G06F3/0482 , G06N20/00
Abstract: Embodiments provide for reduced user input requests by identifying predefined diagnosis paradigms; creating a synthetic diagnosis paradigm via a machine learning process based on prior selections of action plans recommended by the predefined diagnosis paradigms and values entered therefor, wherein the synthetic diagnosis paradigm identifies the action plans to treat the plurality of conditions based on a subset of the attribute inputs used by the predefined diagnosis paradigms; generating a graphical user interface (GUI) to prompt input for values for the subset of attribute inputs; in response to receiving the values for the subset of attribute inputs, identifying at least one condition according to the predefined and synthetic diagnosis paradigms; and displaying the action plans in the GUI in association with the synthetic and predefined diagnosis paradigms according to evaluations of the action plans based on the respective logical structures.
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公开(公告)号：US10972656B2
公开(公告)日：2021-04-06
申请号：US16015526
申请日：2018-06-22
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Adam T. Clark , Jeffrey K. Huebert , Aspen Payton , John Petri
Abstract: A method, computer system, and computer program product for cognitively coaching a user to take favorable photographs are provided. The embodiment may include determining characteristics of favorable photographs from a favorable photo database using image analysis techniques. The embodiment may also include identifying subjects in a current camera frame. The embodiment may further include identifying characteristics of a photograph from a current camera frame. The embodiment may also include determining similarities or differences between the favorable photographs and the current camera frame. The embodiment may further include generating directions that map a current state of similar characteristics to the favorable photographs.
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8.发明申请公开(公告)号：US20200272439A1
公开(公告)日：2020-08-27
申请号：US16286800
申请日：2019-02-27
Applicant: International Business Machines Corporation
Inventor： Mark Gregory Megerian , Thomas J. Eggebraaten , Marie Louise Setnes , John Petri
Abstract: Embodiments provide for the dynamic adjustment of graphical user interfaces (GUIs) in response to learned user preferences via generating a plurality of scores for a plurality of action plans based on logical structures defined by a plurality of diagnosis paradigms that identify conditions addressable by individual action; determining a plurality of weights associated with the plurality of diagnosis paradigms, wherein a given weight of the plurality of weights is based on a historic frequency of selection of individual action plans from a GUI associated with a particular diagnosis paradigm; determining a concordance measure for each action plan relative to each other action plan based on a machine learning clustering of the action plans using the plurality of weights and the plurality of scores; and generating the GUI to present the plurality of diagnosis paradigms and the plurality of action plans based on a respective concordance measure for each action plan.
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