AUTO-GROUPING GALLERY WITH IMAGE SUBJECT CLASSIFICATION

    公开(公告)号:US20240096068A1

    公开(公告)日:2024-03-21

    申请号:US17949527

    申请日:2022-09-21

    摘要: At least one computer processor can replace visual words of an unsupervised machine learning classification model with visual objects of an image. At least two co-occurring single visual objects adjacent to each other in pixels of the image can be combined to obtain a compound visual object. The unsupervised machine learning classification model can be augmented to model the image as a mixture of subjects, where each subject is represented through placements of the visual objects in a mixture of concentric spheres centering on a mixture of intersections on a mixture of horizontal layers. At least one processor can learn latent relationships between the placements of the visual objects in a three-dimensional space depicted in the image and image semantics. Learning the latent relationships trains the unsupervised machine learning classification model to perform image subject classification through the placements of the visual objects in a new image.

    AUTOMATIC RESPONSE PREDICTION
    2.
    发明申请

    公开(公告)号:US20230101339A1

    公开(公告)日:2023-03-30

    申请号:US17486215

    申请日:2021-09-27

    发明人: Ying Li

    摘要: A system in accordance with the present disclosure may include a memory and a processor in communication with the memory. The processor may be configured to perform operations. The operations may include analyzing a database, identifying an announcement in the database, and compiling a user pool for the announcement. The user pool may include one or more users. The operations may include generating a predicted likelihood of response for each of the one or more users and providing an indication to an operator of the predicted likelihood of response.

    IDENTIFYING AND INDEXING DISCRIMINATIVE FEATURES FOR DISEASE PROGRESSION IN OBSERVATIONAL DATA

    公开(公告)号:US20220036984A1

    公开(公告)日:2022-02-03

    申请号:US17502508

    申请日:2021-10-15

    IPC分类号: G16H10/60 G16H50/50

    摘要: A system (or method) for generation and employment of disease progression model(s) that facilitates identifying and indexing discriminative features for disease progression in observational data. The disease progression prediction system comprises a processor that executes computer executable components stored in memory. A receiving component receives and learns observational patient data. A model generation component builds a preliminary disease progression model. An identification component identifies discriminative clinical features for different disease stages. A ranking component ranks discriminative powers of clinical features for respective pairs of disease stages; wherein the model generation component employs the ranked features to generate a final disease progression model.

    Data-driven prediction of drug combinations that mitigate adverse drug reactions

    公开(公告)号:US11037656B2

    公开(公告)日:2021-06-15

    申请号:US16654539

    申请日:2019-10-16

    IPC分类号: G06N5/02 G16C20/30 G06N5/00

    摘要: Predicting beneficial drug combinations mitigating adverse drug reactions identifies drug combinations and associated target adverse drug reaction from a spontaneous reporting system containing case reports of drugs and associated adverse drug reactions. Each drug combination comprises a first drug and a second drug, and a propensity score is computed for each drug in each group. This propensity score expresses a probability of being exposed to a given drug based on other co-prescribed drugs and reported indications, which reflect patient characteristics. Associations are computed for each drug as well as drug interaction. Among the associations, the sum of the associations of the second drug and the interaction effect represents the predicted beneficial score expressing whether the second drug alters the chance of developing the target adverse drug reaction for patients on the first drug. The interaction effect is referred to as predicted interaction score, and represents antagonistic or synergistic drug interactions.

    IDENTIFYING AND OPTIMIZING SKILL SCARCITY MACHINE LEARNING ALGORITHMS

    公开(公告)号:US20210110248A1

    公开(公告)日:2021-04-15

    申请号:US16599886

    申请日:2019-10-11

    IPC分类号: G06N3/08 G06N3/04 G06Q10/06

    摘要: A data set including at least skills data, recruiting data, compensation data, organization structure data can be received. A first training set can be created by cleaning and integrating the data set. A first machine learning model can be trained to predict skill scarcity associated with a skill, geography and organization using the first training set. A second training set can be created by selecting a subset of the first training set based on a local subject matter expert's input with respect to the trained first machine learning model's performance. The first machine learning model can be refined by retraining the first machine learning model using the second training set, the machine learning model refined to predict the skill scarcity associated with the skill, geography and organization within a locality associated with the local subject matter expert.

    Network search query
    6.
    发明授权

    公开(公告)号:US10929490B2

    公开(公告)日:2021-02-23

    申请号:US16417772

    申请日:2019-05-21

    摘要: A method and system for improving a network search query is provided. The method includes executing a real time search with respect to a database associated with an Internet based search for specified digital information. Digital attributes of digital data identified during the real time search are identified and keywords associated with the digital attributes are ranked. In response, search based software code associated with an Internet search for the digital information is generated and associated real time user interactions are recorded. The search based software code is modified resulting in generation of modified search based software code. The modified search based software code is executed and relevant results associated with the Internet based search are presented via a GUI. The database is configured such that the modified search is stored within a logical partition of the database.

    VISUALIZATION OF DYNAMIC RELATIONSHIPS IN A STORYLINE

    公开(公告)号:US20200175066A1

    公开(公告)日:2020-06-04

    申请号:US16207400

    申请日:2018-12-03

    摘要: A computer-implemented method includes determining that a first time point in a video has been reached during playback of the video. A dynamic relationship graph is displayed in association with the first time point, where the dynamic relationship graph illustrates one or more relationships among two or more characters in the video, responsive to the first time point being reached. The relationship graph includes two or more nodes and one or more edges. The nodes include a respective node representing each character of the two or more characters in the video, and the edges include a respective edge representing each relationship of the one or more relationships among the characters. It is determined that a second time point is reached in the video. The dynamic relationship graph is updated to represent a change in the one or more relationships between the first time point and the second time point.

    NETWORK SEARCH MAPPING AND EXECUTION
    8.
    发明申请

    公开(公告)号:US20190272303A1

    公开(公告)日:2019-09-05

    申请号:US16419425

    申请日:2019-05-22

    摘要: A method and system for improving a network search query is provided. The method includes receiving a natural language Internet search request and executing a real time search with respect to a database associated with an Internet based search for specified digital information. Categories associated with the natural language Internet search request are identified and associated intent information is received. Digital attributes data identified during the real time search are identified and an associated concept is extracted. The associated concept is mapped to the digital attributes and search based software code is generated and executed. Resulting relevant results are presented and the database is configured such that the relevant results are stored within a logical partition of the database.

    NETWORK SEARCH QUERY
    9.
    发明申请

    公开(公告)号:US20180357320A1

    公开(公告)日:2018-12-13

    申请号:US15617457

    申请日:2017-06-08

    IPC分类号: G06F17/30

    摘要: A method and system for improving a network search query is provided. The method includes executing a real time search with respect to a database associated with an Internet based search for specified digital information. Digital attributes of digital data identified during the real time search are identified and keywords associated with the digital attributes are ranked. In response, search based software code associated with an Internet search for the digital information is generated and associated real time user interactions are recorded. The search based software code is modified resulting in generation of modified search based software code. The modified search based software code is executed and relevant results associated with the Internet based search are presented via a GUI. The database is configured such that the modified search is stored within a logical partition of the database.