Machine-learning-automated recognition and labelling of columnar data

    公开(公告)号:US12204515B1

    公开(公告)日:2025-01-21

    申请号:US18238135

    申请日:2023-08-25

    Abstract: A computer-implemented method includes receiving input data that is organized into a set of rows and a set of columns. The method includes maintaining a machine learning header model that is trained on tabular data with header rows. The method includes supplying the input data as input to the machine learning header model to generate header row identification data that identifies a set of header rows that is a subset of the set of rows. The method includes maintaining a machine learning column model that is trained on tabular data. The method includes supplying the header row identification data and features of the input data to the machine learning column model to generate column label data that applies a set of defined labels to the set of columns. The method includes generating output data that is organized into rows and columns.

    ALTERNATE DOSE REGIMEN IDENTIFICATION SYSTEM

    公开(公告)号:US20250014702A1

    公开(公告)日:2025-01-09

    申请号:US18790243

    申请日:2024-07-31

    Abstract: Methods and systems for performing dose regimen modification are provided. The methods and systems perform operations comprising: receiving prescription related data for treating a patient with an expected level of efficacy, the prescription related data comprising medication regimen information including dose and interval; determining, using a model, a first amount of drug waste based on the prescription related data; comparing the first amount of drug waste to a threshold value; and in response to determining that the first amount of drug waste transgresses the threshold value, identifying an alternate medication regimen that is associated with a treatment having a given level of efficacy corresponding to the expected level of efficacy, the alternate medication regimen being associated with a second amount of drug waste that is lower than the first amount of drug waste; and triggering a notification associated with the alternate medication regimen.

    Cough detection system
    204.
    发明授权

    公开(公告)号:US12159646B2

    公开(公告)日:2024-12-03

    申请号:US17188462

    申请日:2021-03-01

    Abstract: Methods and systems for a cough detection system are provided. The methods and systems include operations comprising: receiving an utterance comprising a cough from a user; determining one or more environmental factors, one or more health related factors, or both associated with the user; processing the utterance with a machine learning technique to generate an illness prediction, the machine learning technique being trained to establish a relationship between a plurality of training cough utterances and a plurality of illnesses corresponding to the plurality of training cough utterances; applying a weight to the illness prediction based on the one or more environmental factors, health related factors, or both associated with the user; and triggering an alert representing the illness prediction based on the weighted illness prediction.

    Pharmaceutical order processing systems and methods

    公开(公告)号:US12145759B2

    公开(公告)日:2024-11-19

    申请号:US18367792

    申请日:2023-09-13

    Abstract: A pharmaceutical order processing system for processing a plurality of pharmaceutical containers includes a container repository, a container selector, an order consolidator transporter and an order consolidator. The container repository supports the pharmaceutical containers. The container selector has a picker to pick the pharmaceutical containers from the pharmaceutical container repository. The container selector includes a carriage supporting the picker and movable relative to the container repository to move the picker around the container repository. The order consolidator receives the pharmaceutical containers and places the pharmaceutical containers in a shipping package. The order consolidator transporter receives the pharmaceutical containers after they have been picked by the picker and transports the pharmaceutical containers toward the order consolidator.

    TEMPERATURE-RESPONSIVE PACKAGING FOR DRUG SHIPPING

    公开(公告)号:US20240362573A1

    公开(公告)日:2024-10-31

    申请号:US18764467

    申请日:2024-07-05

    CPC classification number: G06Q10/0832 G06Q10/0833

    Abstract: A mail-order drug delivery system includes an order processing device configured to determine a first shipping mode and a corresponding first shipping carrier, generate an expected shipping duration associated with delivery of a drug, determine an origin forecasted temperature, determine a destination forecasted temperature, associate a shipping container with the drug to contain the drug, access temperature model data associated with the shipping container; and determine a predicted temperature of the drug at the shipping destination. The determination is based on forecasted temperatures, the expected shipping duration, the temperature model data, a next pickup time, a storage location of the drug, and a time difference between packing and the next pickup time. The system includes a packing device configured to receive the drug from a transport mechanism and selectively package the drug within the shipping container in response to the predicted temperature meeting a temperature-related storage requirement of the drug.

    Neural network artificial intelligence system for class-based modeling

    公开(公告)号:US12125598B2

    公开(公告)日:2024-10-22

    申请号:US18144330

    申请日:2023-05-08

    CPC classification number: G16H70/40 G16H50/20

    Abstract: A method includes receiving historical data collected from a client associated with members. The historical data includes per-member metrics for the client and demographic information for the members. The method includes identifying therapeutic classes for the client based on the per-member metrics and the demographic information. The method includes segmenting the historical data into a data set for each therapeutic class. The method includes, for each therapeutic class of the set of therapeutic classes, determining a pattern for the per-member metrics corresponding to the respective therapeutic class, generating a respective predictive model based on the pattern, and training a neural network of the respective predictive model using a two-stage training process. The predictive model is configured to generate, as output for the therapeutic class, a per-member metric prediction for an input period of future time. The method includes generating predictions for the therapeutic classes using the predictive models.

    Systems and methods for providing stable deployments to mainframe environments

    公开(公告)号:US12073212B2

    公开(公告)日:2024-08-27

    申请号:US18211858

    申请日:2023-06-20

    CPC classification number: G06F8/71 G06F8/72 G06F9/3005

    Abstract: A quality assurance system includes a mainframe deployment device in communication with a mainframe device with a codebase. The mainframe deployment device initializes a branch repository corresponding to a code region of the codebase, identifies, for a code element of the code region, a timestamp indicating a creation time and a user identifier indicating an owner, populates the branch repository with the code element based on the code region and the timestamp, applies a code security scan to the branch repository to identify and resolve a code security issue, and applies a code quality scan to the branch repository to identify a code quality issue in the code element, assign the code element to the user identifier based at least partially on the timestamp, and route the code element along with information regarding the code quality issue to correct the code quality issue in the code element.

    System and method for receiving and delivering a medical package

    公开(公告)号:US12056651B2

    公开(公告)日:2024-08-06

    申请号:US18243142

    申请日:2023-09-07

    Inventor: John Ciliberti

    CPC classification number: G06Q10/0832 G06Q10/0833 B64U2201/10

    Abstract: A system and method for controlling an autonomous unmanned aerial vehicle for retrieval and delivery of a medical package includes determining a thermal control period for the medical package. The disclosure also includes identifying a relevant retrieval location corresponding to the medical package. The disclosure also includes identifying at least one environmental characteristic of an environment that includes a delivery three-dimensional flight path between the relevant retrieval location and a delivery location, wherein the at least one environmental characteristic indicates an actual weather value at the relevant retrieval location. The disclosure also includes determining whether to retrieve the medical package based on the thermal control period and the at least one environmental characteristic, using the unmanned aerial vehicle.

    Temperature-responsive packaging for drug shipping

    公开(公告)号:US12056650B2

    公开(公告)日:2024-08-06

    申请号:US18234033

    申请日:2023-08-15

    CPC classification number: G06Q10/0832 G06Q10/0833

    Abstract: A mail-order drug delivery system includes an order processing device configured to determine a first shipping mode and a corresponding first shipping carrier, generate an expected shipping duration associated with delivery of a drug, determine an origin forecasted temperature, determine a destination forecasted temperature, associate a shipping container with the drug to contain the drug, access temperature model data associated with the shipping container; and determine a predicted temperature of the drug at the shipping destination. The determination is based on forecasted temperatures, the expected shipping duration, the temperature model data, a next pickup time, a storage location of the drug, and a time difference between packing and the next pickup time. The system includes a packing device configured to receive the drug from a transport mechanism and selectively package the drug within the shipping container in response to the predicted temperature meeting a temperature-related storage requirement of the drug.

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