Patents by Inventor Gabriel Enrique Soto
Gabriel Enrique Soto 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: 20210134415Abstract: Physiological sensors may be utilized to obtain physiological data for a user. The sensor data may be utilized in predicting a user's outcome to a medical intervention using one or more models. The models may be automatically executed in response to receiving certain types and/or amount of data, such as data received from one or more physiological remote sensors, such as Internet of Things sensors. The sensors may include heart rate sensors, arterial pressure sensors, glucose sensors, temperature sensors, weight sensors, blood oxygen sensors, urine sensors, saliva sensors, skin conduction sensors, muscle sensors, brain signal sensors, and/or other sensors. A sensor may communicate over the 2360-2400 MHz and/or the 30-37.5 MHz radio frequency (RF) band. The data may be received from a networked data store. Execution of the models may identify health issues in substantially real time, and the operation of one or more medical devices may be modified and/or a communication may be generated.Type: ApplicationFiled: September 15, 2020Publication date: May 6, 2021Inventors: Gabriel Enrique Soto, John Albert Spertus
-
Patent number: 10806404Abstract: Physiological sensors may be utilized to obtain physiological data for a user. The sensor data may be utilized in predicting a user's outcome to a medical intervention using one or more models. The models may be automatically executed in response to receiving certain types and/or amount of data, such as data received from one or more physiological remote sensors, such as Internet of Things sensors. The sensors may include heart rate sensors, arterial pressure sensors, glucose sensors, temperature sensors, weight sensors, blood oxygen sensors, urine sensors, saliva sensors, skin conduction sensors, muscle sensors, brain signal sensors, and/or other sensors. A sensor may communicate over the 2360-2400 MHz and/or the 30-37.5 MHz radio frequency (RF) band. The data may be received from a networked data store. Execution of the models may identify health issues in substantially real time, and the operation of one or more medical devices may be modified and/or a communication may be generated.Type: GrantFiled: June 27, 2016Date of Patent: October 20, 2020Assignee: Health Outcomes Sciences, Inc.Inventors: Gabriel Enrique Soto, John Albert Spertus
-
Publication number: 20200227167Abstract: A method for providing decision support includes using a programmed computer to input a regression model specification, and to repeat the input a plurality of times to obtain and store a plurality of regression model specifications. The method further includes using the programmed computer to analyze selected regression model specifications to determine at least one of common variables and functions of common variables, to thereby determine a reduced-redundancy request for input of variables, when a plurality of the stored regression model specifications are selected for use.Type: ApplicationFiled: December 10, 2019Publication date: July 16, 2020Inventors: Gabriel Enrique Soto, John Albert Spertus
-
Patent number: 10515188Abstract: A method for providing decision support includes using a programmed computer to input a regression model specification, and to repeat the input a plurality of times to obtain and store a plurality of regression model specifications. The method further includes using the programmed computer to analyze selected regression model specifications to determine at least one of common variables and functions of common variables, to thereby determine a reduced-redundancy request for input of variables, when a plurality of the stored regression model specifications are selected for use.Type: GrantFiled: June 7, 2017Date of Patent: December 24, 2019Assignee: HEALTH OUTCOMES SCIENCES, INC.Inventors: Gabriel Enrique Soto, John Albert Spertus
-
Publication number: 20170357761Abstract: A method for providing decision support includes using a programmed computer to input a regression model specification, and to repeat the input a plurality of times to obtain and store a plurality of regression model specifications. The method further includes using the programmed computer to analyze selected regression model specifications to determine at least one of common variables and functions of common variables, to thereby determine a reduced-redundancy request for input of variables, when a plurality of the stored regression model specifications are selected for use.Type: ApplicationFiled: June 7, 2017Publication date: December 14, 2017Inventors: Gabriel Enrique Soto, John Albert Spertus
-
Patent number: 9690907Abstract: A method for providing decision support includes using a programmed computer to input a regression model specification, and to repeat the input a plurality of times to obtain and store a plurality of regression model specifications. The method further includes using the programmed computer to analyze selected regression model specifications to determine at least one of common variables and functions of common variables, to thereby determine a reduced-redundancy request for input of variables, when a plurality of the stored regression model specifications are selected for use.Type: GrantFiled: May 29, 2014Date of Patent: June 27, 2017Assignee: HEALTH OUTCOMES SCIENCES, INC.Inventors: Gabriel Enrique Soto, John Albert Spertus
-
Publication number: 20160354039Abstract: Physiological sensors may be utilized to obtain physiological data for a user. The sensor data may be utilized in predicting a user's outcome to a medical intervention using one or more models. The models may be automatically executed in response to receiving certain types and/or amount of data, such as data received from one or more physiological remote sensors, such as Internet of Things sensors. The sensors may include heart rate sensors, arterial pressure sensors, glucose sensors, temperature sensors, weight sensors, blood oxygen sensors, urine sensors, saliva sensors, skin conduction sensors, muscle sensors, brain signal sensors, and/or other sensors. A sensor may communicate over the 2360-2400 MHz and/or the 30-37.5 MHz radio frequency (RF) band. The data may be received from a networked data store. Execution of the models may identify health issues in substantially real time, and the operation of one or more medical devices may be modified and/or a communication may be generated.Type: ApplicationFiled: June 27, 2016Publication date: December 8, 2016Inventors: Gabriel Enrique Soto, John Albert Spertus
-
Publication number: 20150088471Abstract: A method for providing decision support includes using a programmed computer to input a regression model specification, and to repeat the input a plurality of times to obtain and store a plurality of regression model specifications. The method further includes using the programmed computer to analyze selected regression model specifications to determine at least one of common variables and functions of common variables, to thereby determine a reduced-redundancy request for input of variables, when a plurality of the stored regression model specifications are selected for use.Type: ApplicationFiled: May 29, 2014Publication date: March 26, 2015Applicant: HEALTH OUTCOMES SCIENCES, LLCInventors: Gabriel Enrique Soto, John Albert Spertus
-
Patent number: 8744815Abstract: A method for providing decision support includes using a programmed computer to input a regression model specification, and to repeat the input a plurality of times to obtain and store a plurality of regression model specifications. The method further includes using the programmed computer to analyze selected regression model specifications to determine at least one of common variables and functions of common variables, to thereby determine a reduced-redundancy request for input of variables, when a plurality of the stored regression model specifications are selected for use.Type: GrantFiled: October 9, 2013Date of Patent: June 3, 2014Assignee: Health Outcomes Sciences, LLCInventors: Gabriel Enrique Soto, John Albert Spertus
-
Publication number: 20140046682Abstract: A statistical processing system includes a server operably configured with program instructions implementing a plurality of statistical models to at least one of (a) predict a health outcome based on questionnaire responses, (b) assist a patient's choice of therapeutic modality based on questionnaire responses, and (c) assess a health risk or status based on questionnaire responses. Also provided is a research agency communicating with the server and contracted to provide the statistical models using a visual interface communicated by the server. The server is configured to analyze requests received from users relating to a plurality of said statistical models to reduce redundancy in requests for patient data.Type: ApplicationFiled: August 16, 2013Publication date: February 13, 2014Applicant: HEALTH OUTCOMES SCIENCES, LLCInventors: Gabriel Enrique Soto, John Albert Spertus
-
Publication number: 20140039917Abstract: A method for providing decision support includes using a programmed computer to input a regression model specification, and to repeat the input a plurality of times to obtain and store a plurality of regression model specifications. The method further includes using the programmed computer to analyze selected regression model specifications to determine at least one of common variables and functions of common variables, to thereby determine a reduced-redundancy request for input of variables, when a plurality of the stored regression model specifications are selected for use.Type: ApplicationFiled: October 9, 2013Publication date: February 6, 2014Applicant: HEALTH OUTCOMES SCIENCES, LLCInventors: Gabriel Enrique Soto, John Albert Spertus
-
Patent number: 8560281Abstract: A method for providing decision support includes using a programmed computer to input a regression model specification, and to repeat the input a plurality of times to obtain and store a plurality of regression model specifications. The method further includes using the programmed computer to analyze selected regression model specifications to determine at least one of common variables and functions of common variables, to thereby determine a reduced-redundancy request for input of variables, when a plurality of the stored regression model specifications are selected for use.Type: GrantFiled: September 13, 2012Date of Patent: October 15, 2013Assignee: Health Outcomes Sciences, LLCInventors: Gabriel Enrique Soto, John Albert Spertus
-
Patent number: 8515780Abstract: A statistical processing system includes a server operably configured with program instructions implementing a plurality of statistical models to at least one of (a) predict a health outcome based on questionnaire responses, (b) assist a patient's choice of therapeutic modality based on questionnaire responses, and (c) assess a health risk or status based on questionnaire responses. Also provided is a research agency communicating with the server and contracted to provide the statistical models using a visual interface communicated by the server. The server is configured to analyze requests received from users relating to a plurality of said statistical models to reduce redundancy in requests for patient data.Type: GrantFiled: November 9, 2012Date of Patent: August 20, 2013Assignee: Health Outcomes Sciences, LLCInventors: Gabriel Enrique Soto, John Albert Spertus
-
Publication number: 20130006662Abstract: A method for providing decision support includes using a programmed computer to input a regression model specification, and to repeat the input a plurality of times to obtain and store a plurality of regression model specifications. The method further includes using the programmed computer to analyze selected regression model specifications to determine at least one of common variables and functions of common variables, to thereby determine a reduced-redundancy request for input of variables, when a plurality of the stored regression model specifications are selected for use.Type: ApplicationFiled: September 13, 2012Publication date: January 3, 2013Applicant: HEATH OUTCOMES SCIENCES, LLCInventors: Gabriel Enrique Soto, John Albert Spertus
-
Patent number: 8311849Abstract: A statistical processing system includes a server operably configured with program instructions implementing a plurality of statistical models to at least one of (a) predict a health outcome based on questionnaire responses, (b) assist a patient's choice of therapeutic modality based on questionnaire responses, and (c) assess a health risk or status based on questionnaire responses. Also provided is a research agency communicating with the server and contracted to provide the statistical models using a visual interface communicated by the server. The server is configured to analyze requests received from users relating to a plurality of said statistical models to reduce redundancy in requests for patient data.Type: GrantFiled: December 10, 2010Date of Patent: November 13, 2012Assignee: Health Outcomes Sciences, LLCInventors: Gabriel Enrique Soto, John Albert Spertus
-
Patent number: 8285525Abstract: A method for providing decision support includes using a programmed computer to input a regression model specification, and to repeat the input a plurality of times to obtain and store a plurality of regression model specifications. The method further includes using the programmed computer to analyze selected regression model specifications to determine at least one of common variables and functions of common variables, to thereby determine a reduced-redundancy request for input of variables, when a plurality of the stored regression model specifications are selected for use.Type: GrantFiled: November 18, 2009Date of Patent: October 9, 2012Assignee: Health Outcomes Sciences, LLCInventors: Gabriel Enrique Soto, John Albert Spertus
-
Publication number: 20110093288Abstract: A statistical processing system includes a server operably configured with program instructions implementing a plurality of statistical models to at least one of (a) predict a health outcome based on questionnaire responses, (b) assist a patient's choice of therapeutic modality based on questionnaire responses, and (c) assess a health risk or status based on questionnaire responses. Also provided is a research agency communicating with the server and contracted to provide the statistical models using a visual interface communicated by the server. The server is configured to analyze requests received from users relating to a plurality of said statistical models to reduce redundancy in requests for patient data.Type: ApplicationFiled: December 10, 2010Publication date: April 21, 2011Applicant: HEALTH OUTCOMES SCIENCES, LLCInventors: Gabriel Enrique Soto, John Albert Spertus
-
Patent number: 7853456Abstract: A statistical processing system includes a server operably configured with program instructions implementing a plurality of statistical models to at least one of (a) predict a health outcome based on questionnaire responses, (b) assist a patient's choice of therapeutic modality based on questionnaire responses, and (c) assess a health risk or status based on questionnaire responses. Also provided is a research agency communicating with the server and contracted to provide the statistical models using a visual interface communicated by the server. The server is configured to analyze requests received from users relating to a plurality of said statistical models to reduce redundancy in requests for patient data.Type: GrantFiled: March 4, 2005Date of Patent: December 14, 2010Assignee: Health Outcomes Sciences, LLCInventors: Gabriel Enrique Soto, John Albert Spertus
-
Publication number: 20100138199Abstract: A method for providing decision support includes using a programmed computer to input a regression model specification, and to repeat the input a plurality of times to obtain and store a plurality of regression model specifications. The method further includes using the programmed computer to analyze selected regression model specifications to determine at least one of common variables and functions of common variables, to thereby determine a reduced-redundancy request for input of variables, when a plurality of the stored regression model specifications are selected for use.Type: ApplicationFiled: November 18, 2009Publication date: June 3, 2010Applicant: HEALTH OUTCOMES SCIENCES, LLCInventors: Gabriel Enrique Soto, John Albert Spertus
-
Patent number: 7643969Abstract: A method for providing decision support includes using a programmed computer to input a regression model specification, and to repeat the input a plurality of times to obtain and store a plurality of regression model specifications. The method further includes using the programmed computer to analyze selected regression model specifications to determine at least one of common variables and functions of common variables, to thereby determine a reduced-redundancy request for input of variables, when a plurality of the stored regression model specifications are selected for use.Type: GrantFiled: March 4, 2005Date of Patent: January 5, 2010Assignee: Health Outcomes Sciences, LLCInventors: Gabriel Enrique Soto, John Albert Spertus