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Fernando F Suarez

from Round Rock, TX
Age ~65

Fernando Suarez Phones & Addresses

  • 1311 Water Spaniel Way, Round Rock, TX 78664 (512) 238-8113
  • Austin, TX
  • Fort Knox, KY
  • Hutto, TX
  • 104 Hyltin St, Hutto, TX 78634 (512) 284-1162

Emails

Professional Records

Medicine Doctors

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Fernando Suarez

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Business Records

Name / Title
Company / Classification
Phones & Addresses
Fernando Suarez
Director, Vice President
Televisa Dth Techco, Inc

Publications

Isbn (Books And Publications)

Los Impuestos Sobre Los Grandes Establecimientos Comerciales (IGEC): Un Analisis Juridico Y Economico

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Author

Fernando Sanchez Suarez

ISBN #

8497679563

Los Mejores Discos De Opera

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Author

Fernando Fraga Suarez

ISBN #

8420657816

Us Patents

Gathering Information On User Interactions With Natural Language Processor (Nlp) Items To Determine An Order In Which To Present Nlp Items

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US Patent:
20210357439, Nov 18, 2021
Filed:
Jul 9, 2021
Appl. No.:
17/372381
Inventors:
- Armonk NY, US
Andrew J. LAVERY - Austin TX, US
Richard J. STEVENS - Monkton VT, US
Fernando J. SUAREZ SAIZ - Armonk NY, US
International Classification:
G06F 16/335
G16H 50/70
G16H 10/60
G06F 16/23
G06F 16/93
G06F 16/332
Abstract:
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.

Cognitive Systems For Generating Prospective Medical Treatment Guidance

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US Patent:
20200035359, Jan 30, 2020
Filed:
Jul 27, 2018
Appl. No.:
16/047744
Inventors:
- Armonk NY, US
Lakshminarayanan Krishnamurthy - Round Rock TX, US
Andrew J. Lavery - Austin TX, US
Richard J. Stevens - Monkton VT, US
Fernando Jose Suarez Saiz - Armonk NY, US
International Classification:
G16H 50/20
G16H 10/60
G16H 50/70
Abstract:
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 Adaption Of Recommendation System

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US Patent:
20190286968, Sep 19, 2019
Filed:
Mar 16, 2018
Appl. No.:
15/923001
Inventors:
- Armonk NY, US
Andrew J. Lavery - Austin TX, US
Richard J. Stevens - Monkton VT, US
Fernando Jose Suarez Saiz - Armonk NY, US
International Classification:
G06N 3/00
G06N 5/04
G06F 17/30
G06F 17/27
Abstract:
A method, computer system, and a computer program product for a dynamic question and answer (QA) process is provided. The present invention may include receiving an input by a user. The present invention may also include analyzing a user expertise level and an amount of experience based on the received input. The present invention may then include adjusting an expert recommendation to align with the analyzed user expertise level and the amount of experience based on the analyzed user expertise. The present invention may further include providing a plurality of feedback based on the adjusted expert recommendation.

Gathering Information On User Interactions With Natural Language Processor (Nlp) Items To Determine An Order In Which To Present Nlp Items

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US Patent:
20190266181, Aug 29, 2019
Filed:
May 8, 2019
Appl. No.:
16/406915
Inventors:
- Armonk NY, US
Andrew J. Lavery - Austin TX, US
Richard J. Stevens - Monkton VT, US
Fernando J. Suarez Saiz - Armonk NY, US
International Classification:
G06F 16/335
G06F 16/332
G06F 16/93
G16H 10/60
G16H 50/70
G06F 16/23
Abstract:
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.

Determining User Interactions With Natural Language Processor (Npl) Items In Documents To Determine Priorities To Present Npl Items In Documents To Review

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US Patent:
20190266186, Aug 29, 2019
Filed:
May 8, 2019
Appl. No.:
16/406885
Inventors:
- Armonk NY, US
Andrew J. Lavery - Austin TX, US
Richard J. Stevens - Monkton VT, US
Fernando J. Suarez Saiz - Armonk NY, US
International Classification:
G06F 16/435
G06F 17/21
G16H 10/60
G06F 16/93
Abstract:
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.

Natural Language Processing Review And Override Based On Confidence Analysis

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US Patent:
20190243825, Aug 8, 2019
Filed:
Apr 22, 2019
Appl. No.:
16/390331
Inventors:
- Armonk NY, US
Andrew J. Lavery - Austin TX, US
Richard J. Stevens - Monkton VT, US
Fernando J. Suarez Saiz - Armonk NY, US
International Classification:
G06F 16/242
Abstract:
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.

Determining User Interactions With Natural Language Processor (Npl) Items In Documents To Determine Priorities To Present Npl Items In Documents To Review

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US Patent:
20190147055, May 16, 2019
Filed:
Nov 13, 2017
Appl. No.:
15/811225
Inventors:
- Armonk NY, US
Andrew J. Lavery - Austin TX, US
Richard J. Stevens - Monkton VT, US
Fernando J. Suarez Saiz - Armonk NY, US
International Classification:
G06F 17/30
G06F 17/21
G06Q 50/24
G06F 19/00
Abstract:
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.

Gathering Information On User Interactions With Natural Language Processor (Nlp) Items To Order Presentation Of Nlp Items In Documents

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US Patent:
20190147102, May 16, 2019
Filed:
Nov 13, 2017
Appl. No.:
15/811260
Inventors:
- Armonk NY, US
Andrew J. Lavery - Austin TX, US
Richard J. Stevens - Monkton VT, US
Fernando J. Suarez Saiz - Armonk NY, US
International Classification:
G06F 17/30
G06F 19/00
Abstract:
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.
Fernando F Suarez from Round Rock, TX, age ~65 Get Report