Automated System And Method For Assigning Billing Codes To Medical Procedures

    公开(公告)号:US20200226321A1

    公开(公告)日:2020-07-16

    申请号:US16709069

    申请日:2019-12-10

    摘要: A method is presented for assigning billing codes for medical procedures. For each string in an input record describing a medical procedure in the input text description, comparing the string to entries in a dictionary of common misspelling and, in response to the string matching an entry in the dictionary, replacing the string with proper spelling; for each string in the input record, comparing the string to entries in another dictionary of abbreviations and, in response to the string matching an entry in the dictionary, replacing the string with expanded text for the abbreviation; constructing a feature vector by extracting features from the input record; for each billing code in a listing of possible billing codes, computing a classifier score for the feature vector using machine learning; and assigning a billing code to the input record from the listing of possible billing codes based on the classifier scores.

    TYPE-SPECIFIC NATURAL LANGUAGE GENERATION FROM TABULAR DATA

    公开(公告)号:US20240330600A1

    公开(公告)日:2024-10-03

    申请号:US18128269

    申请日:2023-03-30

    摘要: A table-to-text (T2T) generation model provides type control and semantic diversity. A method, system, and computer program product are configured to: train a model to generate one or more logic-type-specific natural language statements based on tabular data; in response to receiving a first input comprising first input data with a user-specified logic-type, the trained model generating a first logic-type-specific natural language statement based on the first input data and the user-specified logic-type; and in response to receiving a second input comprising second input data without a user-specified logic-type, the trained model generating plural second logic-type-specific natural language statements based on the second input data, wherein respective ones of the second logic-type-specific natural language statements are generated according to respective ones of plural predefined logic-types.

    System and method for benchmarking and aligning content to target audiences

    公开(公告)号:US11860683B1

    公开(公告)日:2024-01-02

    申请号:US17852232

    申请日:2022-06-28

    申请人: Pluralytics, Inc.

    IPC分类号: G06F40/157 G06F16/332

    CPC分类号: G06F40/157 G06F16/3329

    摘要: Disclosed subject matter benchmarks and aligns content with target audiences. A user may provide content to a language intelligence platform. Scores are then generated by analyzing the content based on values-specific dictionaries, which reflect values of targeted audiences. Based on a comparison between a generated score and a benchmark values score for the target audience, appropriate action may be taken. Disclosed teachings support multiple layers of comparisons and score calculations including comparisons and scoring of all text, segments of text, and specific phrases to achieve a more comprehensive analysis. Embodiments may determine whether headers or other sections that may garner more attention, are aligned with a benchmark. Instead of suggesting alternative content, customer-specific benchmarks may tailor the analysis to align with customer's goals and priorities, potentially resulting in additional performance indicators that support the identification of correlations and predictive lexical patterns of higher performing content.

    Dynamic attribute extraction systems and methods for artificial intelligence platform

    公开(公告)号:US11681874B2

    公开(公告)日:2023-06-20

    申请号:US17067335

    申请日:2020-10-09

    摘要: An AI platform may receive a request for information on text. The text is processed through a text mining pipeline for dynamic attribute extraction. An engine determines entities in the text and utilizes the entities to determine a relationship pattern. The engine identifies a trigger by matching one of the entities with a predefined entity in a utility authority file, locates an entity in close proximity to the trigger, identifies a value or regular expression in close proximity to the trigger in the text, and creates a triplet containing the entity, the trigger, and the value or regular expression, the triplet representing the relationship pattern. The engine applies an action to the triplet, wherein the action comprises obtaining the value from the text or translating the regular expression. The engine attaches the value or a result from the translating to the entity as a dynamic attribute of the entity.

    RECOMMENDATION OF SEARCH SUGGESTIONS

    公开(公告)号:US20220374477A1

    公开(公告)日:2022-11-24

    申请号:US17880861

    申请日:2022-08-04

    摘要: A method and system is disclosed that generates a dictionary of terms comprising terms associated with games of a collaboration platform. The method further identifies search terms associated with previous search queries. The method compares the search terms with the terms of the dictionary to determine whether the search terms associated with the previous search queries are in the dictionary of terms. The method identifies a first set of the search terms that are candidates to receive search suggestions and a second set of the search terms that are to be the search suggestions based on the comparison. The method also generates a record that associates candidate search terms of the first set of the search terms with respective search suggestions of the second set of the search terms. The record is used to provide a search suggestion for a search term of a new search query.

    AUTOMATIC DELINEATION AND EXTRACTION OF TABULAR DATA IN PORTABLE DOCUMENT FORMAT USING GRAPH NEURAL NETWORKS

    公开(公告)号:US20220180044A1

    公开(公告)日:2022-06-09

    申请号:US17111392

    申请日:2020-12-03

    摘要: Aspects of the present invention disclose a method for automatic delineation and extraction of tabular data in portable document format (PDF). The method includes one or more processors extracting metadata corresponding to tabular data in a text-based portable document format (PDF), wherein the metadata is associated with characters and border lines of the tabular data. The method further includes generating a graph structure corresponding to the tabular data in the text-based PDF based at least in part on the metadata. The method further includes generating a vector representation of the graph structure. The method further includes constructing a tree structure corresponding to the tabular data based at least in part on the vector representation.

    Techniques and architectures for native data field lifecycle management

    公开(公告)号:US11295068B2

    公开(公告)日:2022-04-05

    申请号:US15631250

    申请日:2017-06-23

    发明人: Kelly Henvy

    摘要: Techniques for maintaining a data dictionary within a computing platform that provides a multitenant environment in which multiple tenants utilizing the multitenant environment share a single instance of a database. The data dictionary is maintained with referential integrity utilizing custom database objects to provide metadata corresponding to the data dictionary. The data dictionary tracks attributes for the custom database objects utilizing natively supported field attributes and the custom database objects maintain tenant-specific information. The custom database objects are automatically updated corresponding to the data dictionary. A notification to one or more users is generated for custom database objects that correspond to the data dictionary that cannot be updated automatically, if any.