Patents by Inventor David B. Werts

David B. Werts 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).

  • Publication number: 20190251154
    Abstract: A method for providing annotation summaries for annotations is provided. The method may include receiving annotations associated with analyzed unstructured data. The method may further include sorting the received annotations. Additionally, the method may include receiving focal points on the analyzed unstructured data. The method may also include extracting the sorted annotations associated with the focal points. The method may further include normalizing terms and phrases associated with the extracted annotations. The method may also include determining topics based on the normalized terms and phrases associated with the extracted annotations. The method may further include grouping the extracted annotations based on the determined topics. The method may also include summarizing the grouped annotations to generate a summarized annotation. The method may further include replacing the extracted annotations with the summarized annotation.
    Type: Application
    Filed: April 25, 2019
    Publication date: August 15, 2019
    Inventors: Patrick W. Fink, Kristin E. McNeil, Philip E. Parker, David B. Werts
  • Publication number: 20190251155
    Abstract: A method for providing annotation summaries for annotations is provided. The method may include receiving annotations associated with analyzed unstructured data. The method may further include sorting the received annotations. Additionally, the method may include receiving focal points on the analyzed unstructured data. The method may also include extracting the sorted annotations associated with the focal points. The method may further include normalizing terms and phrases associated with the extracted annotations. The method may also include determining topics based on the normalized terms and phrases associated with the extracted annotations. The method may further include grouping the extracted annotations based on the determined topics. The method may also include summarizing the grouped annotations to generate a summarized annotation. The method may further include replacing the extracted annotations with the summarized annotation.
    Type: Application
    Filed: April 25, 2019
    Publication date: August 15, 2019
    Inventors: Patrick W. Fink, Kristin E. McNeil, Philip E. Parker, David B. Werts
  • Patent number: 10318622
    Abstract: A method for providing annotation summaries for annotations is provided. The method may include receiving annotations associated with analyzed unstructured data. The method may further include sorting the received annotations. Additionally, the method may include receiving focal points on the analyzed unstructured data. The method may also include extracting the sorted annotations associated with the focal points. The method may further include normalizing terms and phrases associated with the extracted annotations. The method may also include determining topics based on the normalized terms and phrases associated with the extracted annotations. The method may further include grouping the extracted annotations based on the determined topics. The method may also include summarizing the grouped annotations to generate a summarized annotation. The method may further include replacing the extracted annotations with the summarized annotation.
    Type: Grant
    Filed: March 30, 2016
    Date of Patent: June 11, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Patrick W. Fink, Kristin E. McNeil, Philip E. Parker, David B. Werts
  • Patent number: 10162866
    Abstract: A computer system gleans data from patient records and clinical trial descriptions using NLP techniques. NLP annotation data is used to generate clinical trial feature vectors and patient feature vectors. Clinical trial feature vectors and patient feature vectors are compared to match appropriate patient candidates with clinical trial openings.
    Type: Grant
    Filed: August 9, 2017
    Date of Patent: December 25, 2018
    Assignee: International Business Machines Corporation
    Inventors: Patrick W. Fink, Kristin E. McNeil, Philip E. Parker, David B. Werts
  • Publication number: 20180336185
    Abstract: Detecting and incorporating formatting characteristics within natural language processing analytics. Source documents are ingested and the markup formatting language is identified by the program. Once identified, the markup language is parsed and examined for formatting characteristics, embedded notes, comments and other metadata. The formatting characteristics of the plain text are extracted, along with the plain text, and converted into a common analysis structure (CAS), or CAS-equivalent structure, which annotates the natural language text together with its respective formatting characteristics. The CAS or CAS-equivalent structures are stored and sent to a natural language processing pipeline for further analysis via complex algorithms and rules. The natural language processing results data are curated to reflect meaningful analysis of the extracted CAS or CAS-equivalent structure.
    Type: Application
    Filed: September 18, 2017
    Publication date: November 22, 2018
    Inventors: Patrick W. Fink, Kristin E. McNeil, Philip E. Parker, David B. Werts
  • Publication number: 20180336181
    Abstract: Detecting and incorporating formatting characteristics within natural language processing analytics. Source documents are ingested and the markup formatting language is identified by the program. Once identified, the markup language is parsed and examined for formatting characteristics, embedded notes, comments and other metadata. The formatting characteristics of the plain text are extracted, along with the plain text, and converted into a common analysis structure (CAS), or CAS-equivalent structure, which annotates the natural language text together with its respective formatting characteristics. The CAS or CAS-equivalent structures are stored and sent to a natural language processing pipeline for further analysis via complex algorithms and rules. The natural language processing results data are curated to reflect meaningful analysis of the extracted CAS or CAS-equivalent structure.
    Type: Application
    Filed: May 17, 2017
    Publication date: November 22, 2018
    Inventors: Patrick W. Fink, Kristin E. McNeil, Philip E. Parker, David B. Werts
  • Publication number: 20180232489
    Abstract: Medical data for transcription into a medical record is received. As the medical data is received, in real time: a computer-understandable meaning of text contained in the medical data can be identified by performing natural language processing on the text contained in the medical data; at least one medical transcription rule that applies to the medical data can be identified by processing the computer-understandable meaning of the text contained in the medical data; whether the medical data is incomplete can be determined by processing the computer-understandable meaning of text using the at least one medical transcription rule; and, responsive to determining that the medical data is incomplete, at least one annotation can be added to the medical record, the at least one annotation indicating data that is missing from the medical record and where in the medical record the data is missing.
    Type: Application
    Filed: February 15, 2017
    Publication date: August 16, 2018
    Inventors: Patrick W. Fink, Kristin E. McNeil, Philip E. Parker, David B. Werts
  • Patent number: 10042835
    Abstract: A method for providing annotation summaries for annotations is provided. The method may include receiving annotations associated with analyzed unstructured data. The method may further include sorting the received annotations. Additionally, the method may include receiving focal points on the analyzed unstructured data. The method may also include extracting the sorted annotations associated with the focal points. The method may further include normalizing terms and phrases associated with the extracted annotations. The method may also include determining topics based on the normalized terms and phrases associated with the extracted annotations. The method may further include grouping the extracted annotations based on the determined topics. The method may also include summarizing the grouped annotations to generate a summarized annotation. The method may further include replacing the extracted annotations with the summarized annotation.
    Type: Grant
    Filed: July 21, 2017
    Date of Patent: August 7, 2018
    Assignee: International Business Machines Corporation
    Inventors: Patrick W. Fink, Kristin E. McNeil, Philip E. Parker, David B. Werts
  • Patent number: 9965469
    Abstract: According to an embodiment of the present invention, a system dynamically produces a document with transformed terms associated with a geographic location, and comprises a computer system including at least one processor. The system analyzes a retrieved document to identify one or more terms with equivalent expressions in the same natural language. Each of the identified terms is transformed into an equivalent expression based on at least a geographic location associated with a user. The system produces a transformed document by replacing the identified one or more terms in the retrieved document with the equivalent expressions associated with the geographic location. Embodiments of the present invention further include a method and computer program product for dynamically producing a document with transformed terms for a geographic location in substantially the same manner described above.
    Type: Grant
    Filed: March 23, 2016
    Date of Patent: May 8, 2018
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Patrick W. Fink, Kristin E. McNeil, Philip E. Parker, David B. Werts
  • Patent number: 9875230
    Abstract: A method, a processing device, and a computer program product are provided. Via at least one processing device, each text file is selected from a collection of text files, wherein the collection of text files has an intensity with respect to negative sentiment toward a common issue. At least one profile algorithm is performed, each calculating a corresponding profile score for that text file. At least one corresponding profile score of the text files of the collection are combined to produce an aggregated profile score for each of at least one profile algorithm. The aggregated profile score of each of the at least one profile algorithm for the collection is stored. A signature for the collection of text files includes the aggregated profile score of each of the at least one profile algorithm for the collection.
    Type: Grant
    Filed: April 8, 2016
    Date of Patent: January 23, 2018
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Patrick W. Fink, Kristin E. McNeil, Philip E. Parker, David B. Werts
  • Publication number: 20180018577
    Abstract: A computer-implemented method includes receiving a rule, wherein the rule includes at least one token, and receiving at least two dictionaries, wherein the at least two dictionaries include at least one general language dictionary and at least one domain-specific dictionary for a domain. The computer-implemented method further includes, for each of the at least one token, selecting at least one word at random from at least one of the at least two dictionaries and adding the at least one word to a test data line, such that the test data line includes a candidate statement conforming to the rule. The computer-implemented method further includes filtering the candidate statement based on a domain-specific model for the domain and including the candidate statement in training data provided to a machine learning model. A corresponding computer program product and computer system are also disclosed.
    Type: Application
    Filed: July 12, 2016
    Publication date: January 18, 2018
    Inventors: Patrick W. Fink, Kristin E. McNeil, Philip E. Parker, David B. Werts
  • Publication number: 20180018589
    Abstract: A computer-implemented method includes receiving a rule, wherein the rule includes at least one token, and receiving at least two dictionaries, wherein the at least two dictionaries include at least one general language dictionary and at least one domain-specific dictionary for a domain. The computer-implemented method further includes, for each of the at least one token, selecting at least one word at random from at least one of the at least two dictionaries and adding the at least one word to a test data line, such that the test data line includes a candidate statement conforming to the rule. The computer-implemented method further includes filtering the candidate statement based on a domain-specific model for the domain and including the candidate statement in training data provided to a machine learning model. A corresponding computer program product and computer system are also disclosed.
    Type: Application
    Filed: July 17, 2017
    Publication date: January 18, 2018
    Inventors: Patrick W. Fink, Kristin E. McNeil, Philip E. Parker, David B. Werts
  • Publication number: 20170351814
    Abstract: A computer system gleans data from patient records and clinical trial descriptions using NLP techniques. NLP annotation data is used to generate clinical trial feature vectors and patient feature vectors. Clinical trial feature vectors and patient feature vectors are compared to match appropriate patient candidates with clinical trial openings.
    Type: Application
    Filed: June 3, 2016
    Publication date: December 7, 2017
    Inventors: Patrick W. Fink, Kristin E. McNeil, Philip E. Parker, David B. Werts
  • Publication number: 20170351816
    Abstract: A computer system gleans data from patient records and clinical trial descriptions using NLP techniques. NLP annotation data is used to generate clinical trial feature vectors and patient feature vectors. Clinical trial feature vectors and patient feature vectors are compared to match appropriate patient candidates with clinical trial openings.
    Type: Application
    Filed: August 9, 2017
    Publication date: December 7, 2017
    Inventors: Patrick W. Fink, Kristin E. McNeil, Philip E. Parker, David B. Werts
  • Publication number: 20170315977
    Abstract: A method for providing annotation summaries for annotations is provided. The method may include receiving annotations associated with analyzed unstructured data. The method may further include sorting the received annotations. Additionally, the method may include receiving focal points on the analyzed unstructured data. The method may also include extracting the sorted annotations associated with the focal points. The method may further include normalizing terms and phrases associated with the extracted annotations. The method may also include determining topics based on the normalized terms and phrases associated with the extracted annotations. The method may further include grouping the extracted annotations based on the determined topics. The method may also include summarizing the grouped annotations to generate a summarized annotation. The method may further include replacing the extracted annotations with the summarized annotation.
    Type: Application
    Filed: July 21, 2017
    Publication date: November 2, 2017
    Inventors: Patrick W. Fink, Kristin E. McNeil, Philip E. Parker, David B. Werts
  • Publication number: 20170300624
    Abstract: A method, a processing device, and a computer program product are provided. At least one processing device correlates textual medical information related to the subject with characteristics of an image of a medical condition of the subject to generate a subject signature. The at least one processing device compares the subject signature with multiple reference signatures to determine at least one reference signature corresponding to the subject signature. Each reference signature is associated with a corresponding medical condition and is generated by correlating textual medical information regarding the corresponding medical condition with characteristics of an image of the corresponding medical condition. The at least one processing device identifies the medical condition of the subject based on the medical conditions associated with the determined at least one reference signature. Information is provided regarding the identified medical condition of the subject.
    Type: Application
    Filed: June 30, 2017
    Publication date: October 19, 2017
    Inventors: Patrick W. Fink, Kristin E. McNeil, Philip E. Parker, David B. Werts
  • Publication number: 20170293605
    Abstract: A method, a processing device, and a computer program product are provided. Via at least one processing device, each text file is selected from a collection of text files, wherein the collection of text files has an intensity with respect to negative sentiment toward a common issue. At least one profile algorithm is performed, each calculating a corresponding profile score for that text file. At least one corresponding profile score of the text files of the collection are combined to produce an aggregated profile score for each of at least one profile algorithm. The aggregated profile score of each of the at least one profile algorithm for the collection is stored. A signature for the collection of text files includes the aggregated profile score of each of the at least one profile algorithm for the collection.
    Type: Application
    Filed: April 8, 2016
    Publication date: October 12, 2017
    Inventors: Patrick W. Fink, Kristin E. McNeil, Philip E. Parker, David B. Werts
  • Publication number: 20170286381
    Abstract: A method for providing annotation summaries for annotations is provided. The method may include receiving annotations associated with analyzed unstructured data. The method may further include sorting the received annotations. Additionally, the method may include receiving focal points on the analyzed unstructured data. The method may also include extracting the sorted annotations associated with the focal points. The method may further include normalizing terms and phrases associated with the extracted annotations. The method may also include determining topics based on the normalized terms and phrases associated with the extracted annotations. The method may further include grouping the extracted annotations based on the determined topics. The method may also include summarizing the grouped annotations to generate a summarized annotation. The method may further include replacing the extracted annotations with the summarized annotation.
    Type: Application
    Filed: March 30, 2016
    Publication date: October 5, 2017
    Inventors: Patrick W. Fink, Kristin E. McNeil, Philip E. Parker, David B. Werts
  • Publication number: 20170277682
    Abstract: According to an embodiment of the present invention, a system dynamically produces a document with transformed terms associated with a geographic location, and comprises a computer system including at least one processor. The system analyzes a retrieved document to identify one or more terms with equivalent expressions in the same natural language. Each of the identified terms is transformed into an equivalent expression based on at least a geographic location associated with a user. The system produces a transformed document by replacing the identified one or more terms in the retrieved document with the equivalent expressions associated with the geographic location. Embodiments of the present invention further include a method and computer program product for dynamically producing a document with transformed terms for a geographic location in substantially the same manner described above.
    Type: Application
    Filed: March 23, 2016
    Publication date: September 28, 2017
    Inventors: Patrick W. Fink, Kristin E. McNeil, Philip E. Parker, David B. Werts
  • Publication number: 20170262583
    Abstract: A method, a processing device, and a computer program product are provided. At least one processing device correlates textual medical information related to the subject with characteristics of an image of a medical condition of the subject to generate a subject signature. The at least one processing device compares the subject signature with multiple reference signatures to determine at least one reference signature corresponding to the subject signature. Each reference signature is associated with a corresponding medical condition and is generated by correlating textual medical information regarding the corresponding medical condition with characteristics of an image of the corresponding medical condition. The at least one processing device identifies the medical condition of the subject based on the medical conditions associated with the determined at least one reference signature. Information is provided regarding the identified medical condition of the subject.
    Type: Application
    Filed: March 11, 2016
    Publication date: September 14, 2017
    Inventors: Patrick W. Fink, Kristin E. McNeil, Philip E. Parker, David B. Werts