COGNITIVE DECISION PLATFORM FOR HONEY VALUE CHAIN

    公开(公告)号:US20210125035A1

    公开(公告)日:2021-04-29

    申请号:US16665633

    申请日:2019-10-28

    摘要: In an aspect, a decision platform that optimizes honey value chain can be provided. The decision platform may receive images of a geographic region including catchment areas, run a first machine learning model with the images as input to identify resources in the catchment areas, run a second machine learning model with the identified resources to predict pollen and nectar concentration in the catchment areas, run a third machine learning model with at least the predicted pollen and nectar concentration to predict honey yield in each of the catchment areas, and determine placement of a swarm to at least one of the catchment areas. The decision platform may also control an unmanned aerial vehicle to guide the swarm to at least one of the catchment areas.

    Cognitive decision platform for honey value chain

    公开(公告)号:US11270189B2

    公开(公告)日:2022-03-08

    申请号:US16665633

    申请日:2019-10-28

    摘要: In an aspect, a decision platform that optimizes honey value chain can be provided. The decision platform may receive images of a geographic region including catchment areas, run a first machine learning model with the images as input to identify resources in the catchment areas, run a second machine learning model with the identified resources to predict pollen and nectar concentration in the catchment areas, run a third machine learning model with at least the predicted pollen and nectar concentration to predict honey yield in each of the catchment areas, and determine placement of a swarm to at least one of the catchment areas. The decision platform may also control an unmanned aerial vehicle to guide the swarm to at least one of the catchment areas.

    AGGREGATING VERIFIED HEALTH PROFILES IN EMERGENCY ROOMS

    公开(公告)号:US20210050076A1

    公开(公告)日:2021-02-18

    申请号:US16543542

    申请日:2019-08-17

    IPC分类号: G16H10/60 G16H50/30

    摘要: Identify an emergency patient's potential emergency contacts and their social relationships by processing the patient's Internet footprint with a first natural language processing algorithm. Identify the emergency patient's possible health context by processing at least one of the emergency patient's Internet footprint and diagnostic data with a second natural language processing algorithm. Link at least one item of the emergency patient's possible health context to at least one linked emergency contact, who is selected from the potential emergency contacts using a sorting module that is trained to associate types of medical conditions with attributes of emergency contacts. Verify the at least one item of the emergency patient's possible health context by contacting the at least one linked emergency contact. Aggregate a verified health profile for the emergency patient based on at least one response provided by the at least one linked emergency contact.

    OPTIMIZED MEDICATION RECOMMENDATION USING A NEURAL NETWORK

    公开(公告)号:US20200243180A1

    公开(公告)日:2020-07-30

    申请号:US16257779

    申请日:2019-01-25

    摘要: A method includes: receiving a diagnosis of a medical condition; retrieving encoded guidelines for pharmaceutical treatment corresponding to the diagnosis; in response to the encoded guidelines, generating a list of recommended medications with related information; modifying the list of recommended medications, in response to personal context data obtained from at least one of a wearable device, a smart pill bottle, a patient health wallet, and an electronic health record; further modifying the list of recommended medications in response to environmental context data; generating an ordered list of recommended medications by yet further modifying the list of recommended medications in response to a patient similarity analysis; providing to a prescriber the ordered list of recommended medications; developing a logistical plan including a mode of delivery for one of the recommended medications; and programming an autonomous device to implement the mode of delivery.

    COGNITIVE MANAGEMENT OF VIRTUAL MEETINGS
    6.
    发明公开

    公开(公告)号:US20240333543A1

    公开(公告)日:2024-10-03

    申请号:US18129983

    申请日:2023-04-03

    IPC分类号: H04L12/18

    CPC分类号: H04L12/1818

    摘要: An embodiment associates a virtual-meeting host designation with a first user. During the virtual meeting, the embodiment generates meeting context data that includes user characteristic data and meeting characteristic data. The embodiment uses the meeting context data to generate a predicted end time for the virtual meeting and predicts a meeting run-over condition indicative of the virtual meeting continuing past a scheduled end time by comparing the predicted end time and a scheduled end time. Responsive to predicting the meeting run-over condition, the embodiment uses the user characteristic data to generate a ranked list of other users and renders, as a display to the first user, the ranked list and an indication of the meeting run-over condition. The embodiment receives a selection of a second user as a new host of the virtual meeting and, responsive to receiving the selection, associates the host designation with the second.

    DYNAMICALLY MODIFYING A PLATFORM BASED ON USER FEEDBACK

    公开(公告)号:US20220318702A1

    公开(公告)日:2022-10-06

    申请号:US17223068

    申请日:2021-04-06

    IPC分类号: G06Q10/06 G06Q30/00

    摘要: In an approach to improve platform modification by dynamically modifying content based on user feedback. Embodiments suggest one or more solutions and recommendations, via a user interface, to one or more users that comply with one or more standards, regulations, and resources of an organization. Further, embodiments verify the solutions and recommendations that comply with the one or more standards, regulations, and resources of the organization, and automatically generate a prototype solution. Additionally, embodiments provide, by the user interface, one or more augmented solutions for the one or more users, wherein augmented solutions are provided to the one or more users requiring a temporary solution; and label and cluster user feedback and associated solutions of the one or more users to provide effective solutions for future users based on a similarity of the feedback of the one or more users.