Patents by Inventor Joseph Max Kaufmann

Joseph Max Kaufmann has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • SYSTEMS AND METHODS FOR WEAKLY-SUPERVISED REPORTABILITY AND CONTEXT PREDICTION, AND FOR MULTI-MODAL RISK IDENTIFICATION FOR PATIENT POPULATIONS
    Publication number: 20230125785
    Abstract: Presented herein are systems and methods for automated analysis of patient data. More particularly, in certain embodiments, the invention relates to systems and methods for predicting the context of a particular phrase (e.g. the name of a diagnosis/condition) in a clinical record of a patient using a reportability classifier. In another aspect, the invention relates to systems and methods for automatically identifying a potential care gap and/or adverse health trend for a patient from clinical data.
    Type: Application
    Filed: August 5, 2022
    Publication date: April 27, 2023
    Inventors: Neel Master, Joseph Max Kaufmann, Michael Alan Nossal, Jennifer O. Clarke, David Andrew Miller, Maren Beus, Amit Patel
  • Search space reduction for knowledge graph querying and interactions
    Patent number: 11157540
    Abstract: A search space can be reduced using a pruned ontology that comprises entities from an initial ontology. A document corpus having a plurality of documents is received for processing. An ontology pruner determines a set of entities in the plurality of documents. For each entity in the set of entities, the ontology pruner determines a link for the entity in the initial ontology. The ontology pruner determines a score for the entity based on information obtained through the link for the entity in the initial ontology. The ontology pruner omits the entity from the pruned ontology if the score is below a predetermined or configurable threshold value.
    Type: Grant
    Filed: September 12, 2016
    Date of Patent: October 26, 2021
    Assignee: International Business Machines Corporation
    Inventors: Swaminathan Chandrasekaran, Joseph Max Kaufmann, Lakshminarayanan Krishnamurthy, Edward Eugene Seabolt
  • SEARCH SPACE REDUCTION FOR KNOWLEDGE GRAPH QUERYING AND INTERACTIONS
    Publication number: 20180075070
    Abstract: A search space can be reduced using a pruned ontology that comprises entities from an initial ontology. A document corpus having a plurality of documents is received for processing. An ontology pruner determines a set of entities in the plurality of documents. For each entity in the set of entities, the ontology pruner determines a link for the entity in the initial ontology. The ontology pruner determines a score for the entity based on information obtained through the link for the entity in the initial ontology. The ontology pruner omits the entity from the pruned ontology if the score is below a predetermined or configurable threshold value.
    Type: Application
    Filed: September 12, 2016
    Publication date: March 15, 2018
    Inventors: Swaminathan Chandrasekaran, Joseph Max Kaufmann, Lakshminarayanan Krishnamurthy, Edward Eugene Seabolt