International Business Machines Corporation

Eric L Erpenbach

Richard Joseph Stevens

Andrew Jason Lavery

Fernando Jose Suarez Saiz

Lakshminarayanan Krishnamurthy

Provided are a computer program product, system, and method for determining user interactions with natural language processor (NLP) items in documents to determine priorities to present NLP items in documents to review. Information is received on user interactions with natural language processing (NLP) items in documents presented at least one computing device. Indication is made in a database of user interaction information on the user interactions with the NLP items indicated in the received transmitted information. The user interaction information in the database providing interaction information for NLP items in the selected document is used to determine an order of the NLP items in the selected document. Content of the NLP items in the selected document is transmitted to present to a reviewing user at a reviewing computing device in the determined order.

Determining user interactions with natural language processor (NPL) items in documents to determine priorities to present NPL items in documents to review

Provided are a computer program product, system, and method for providing information on detected user interactions with natural language processor (NLP) items to a server to use to determine an order in which to render NLP items in a user interface. Interactions with natural language processing (NLP) items in documents are detected. For each interaction with an NLP item of the NLP items in the documents, determination is made of a context attribute value for a context attribute related to the interaction with the NLP item. Then interaction information is generated indicating the NLP item and the determined context attribute value. The interaction information is sent to the server to include in user interaction information in a database.

Gathering information on user interactions with natural language processor (NLP) items to order presentation of NLP items in documents

A computer-implemented method, system and computer program product for understanding information using a document analysis technique. An initial corpus of information is formed by identifying a document(s) that match a search criteria. The initial corpus of information is expanded with a set of documents containing statements with a semantic meaning within a threshold degree of similarity to a semantic meaning of statements contained within the document(s) used to form the initial corpus of information. Viewpoint(s) are then extracted from the expanded corpus of information using a natural language processing technique. A new set of documents is analyzed by identifying the subject, assertion and context statements. Assertions in the new set of documents that are within a threshold degree of agreement or disagreement with the extracted viewpoint are highlighted to assist the user in understanding how information aligns with a viewpoint.

Document analysis technique for understanding information

According to embodiments of the present invention, medical treatment outcomes are simulated. A system receives a request to determine a medical treatment pertaining to a medical condition of a patient. The request is applied to one or more models, via a processor, to simulate outcomes for a plurality of different medical treatments for the medical condition, wherein the one or more models account for impacts of the plurality of different medical treatments on use of medical treatments awaiting future approval. The medical treatment is determined from the simulated outcomes, via a processor, with a desired level of impact on the medical treatments awaiting future approval based on characteristics of the patient. Methods and computer readable media are also provided herein for simulating medical treatment outcomes.

Cognitive systems for generating prospective medical treatment guidance

Gathering information on user interactions with natural language processor (NLP) items to determine an order in which to present NLP items

Natural language processing includes processing unstructured data in response to a request for a conclusion to a line of inquiry to produce structured information that conforms to a computer readable information schema. Values obtained from the unstructured data are assigned to attributes of the structured information and determining a candidate conclusion to the line of inquiry based on the value-assigned attributes. A confidence score is computed that is indicative of a sufficiency of the candidate conclusion as the conclusion to the line of inquiry. One or more of the attributes are displayed to a user for modification responsive to the confidence score of the corresponding conclusion failing to meet a confidence criterion. The displayed attributes are ranked by relevance of the attribute to the corresponding conclusion. The conclusion to the line of inquiry is determined based on the modified values of the user-selected attributes.

Natural language processing review and override based on confidence analysis

Unstructured data are processed in response to a request for information to derive attributes. The attributes include a subset of variables utilized to determine the requested information. The attributes are ranked based on a set of relevance factors for determining the requested information. One or more attributes are selected for presentation to a user based on the ranking to receive modifications and produce modified attributes. The requested information is determined based on the set of variables including the modified attributes.

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Oronoco, MN, United States of America

Eric L Erpenbach