Patents by Inventor Shishir DASH
Shishir DASH 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).
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Patent number: 11908585Abstract: A method and system for modeling behavior and depression state of an individual, the method comprising: receiving a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing activity of the individual during the time period; receiving a survey dataset including responses, to at least one of a set of depression-assessment surveys, associated with a set of time points of the time period; generating a predictive analysis of a depression-risk state of the individual associated with at least a portion of the time period, from at least one of the log of use dataset, the supplementary dataset, and the survey dataset; and generating an alert upon detection that a set of parameters from the predictive analysis of the depression-risk state satisfy a threshold condition.Type: GrantFiled: November 2, 2021Date of Patent: February 20, 2024Assignee: OrangeDot, Inc.Inventors: Sai Moturu, Anmol Madan, Shishir Dash, Karim Wahba, Gourab De
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Publication number: 20220059235Abstract: A method and system for modeling behavior and depression state of an individual, the method comprising: receiving a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing activity of the individual during the time period; receiving a survey dataset including responses, to at least one of a set of depression-assessment surveys, associated with a set of time points of the time period; generating a predictive analysis of a depression-risk state of the individual associated with at least a portion of the time period, from at least one of the log of use dataset, the supplementary dataset, and the survey dataset; and generating an alert upon detection that a set of parameters from the predictive analysis of the depression-risk state satisfy a threshold condition.Type: ApplicationFiled: November 2, 2021Publication date: February 24, 2022Inventors: Sai Moturu, Anmol Madan, Shishir Dash, Karim Wahba, Gourab De
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Publication number: 20210391083Abstract: A method and system for digitally providing healthcare to a patient, the method including receiving a log of use dataset associated with patient digital communication behavior at a mobile computing device, wherein the first log of use dataset corresponds to a time period; receiving a supplementary dataset corresponding to the time period; receiving a survey response dataset from the patient, the survey response dataset corresponding to the time period; receiving a care provider dataset in association with the time period; selecting a therapeutic intervention from a set of therapeutic interventions, based on processing with at least one of the first log of use dataset, the supplementary dataset, the survey response dataset, and the care provider dataset; generating a dynamic care plan modifiable over a time period; promoting the therapeutic intervention according to the dynamic care plan.Type: ApplicationFiled: August 31, 2021Publication date: December 16, 2021Inventors: Sai Moturu, Anmol Madan, Greg Elliott, Amanda Withrow, Shishir Dash
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Patent number: 11200984Abstract: A method and system for modeling behavior and a psychotic disorder-related state of a patient, the method comprising: receiving a log of use dataset associated with communication behavior of the patient during a time period; receiving a supplementary dataset characterizing mobility-behavior of the patient during the time period; generating a predictive model based upon a passive dataset derived from the log of use dataset and the supplementary dataset; transforming at least one of the passive dataset and an output of the predictive model into an analysis of a psychotic episode-risk state of the individual associated with at least a portion of the time period; and upon detection that parameters of the psychotic episode-risk state satisfy at least one threshold condition, automatically initiating provision of a therapeutic intervention for the individual by way of at least one of the computing system and the mobile communication device.Type: GrantFiled: August 7, 2018Date of Patent: December 14, 2021Assignee: Ginger.io, Inc.Inventors: Anmol Madan, Sai Moturu, Karim Wahba, Shishir Dash, Gourab De
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Patent number: 11195625Abstract: A method and system for modeling behavior and depression state of an individual, the method comprising: receiving a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing activity of the individual during the time period; receiving a survey dataset including responses, to at least one of a set of depression-assessment surveys, associated with a set of time points of the time period; generating a predictive analysis of a depression-risk state of the individual associated with at least a portion of the time period, from at least one of the log of use dataset, the supplementary dataset, and the survey dataset; and generating an alert upon detection that a set of parameters from the predictive analysis of the depression-risk state satisfy a threshold condition.Type: GrantFiled: August 7, 2018Date of Patent: December 7, 2021Assignee: Ginger.io, Inc.Inventors: Sai Moturu, Anmol Madan, Shishir Dash, Karim Wahba, Gourab De
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Publication number: 20200402626Abstract: A method and system for providing patient indications to an entity, the method comprising: for each of a set of patients: by way of an application executing at a mobile computing device, accessing a sensor system and a log of use of a communication application executing on the mobile computing device; receiving a survey response dataset; generating a behavioral dataset, derived from the sensor system and the log of use; generating a predictive model derived from at least one of the survey response dataset and the behavioral dataset; generating comparisons of outputs of blocks of the method to threshold conditions; producing a set of indications corresponding to the set of patients, derived from generation of, for each of the set of patients, an indication in response to the comparisons; and transmitting a portion of the set of indications to the entity according to a resource constraint of the entity.Type: ApplicationFiled: July 2, 2020Publication date: December 24, 2020Inventors: Sai Moturu, Anmol Madan, Shishir Dash, Karim Wahba
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Patent number: 10748645Abstract: A method and system for providing patient indications to an entity, the method comprising: for each of a set of patients: by way of an application executing at a mobile computing device, accessing a sensor system and a log of use of a communication application executing on the mobile computing device; receiving a survey response dataset; generating a behavioral dataset, derived from the sensor system and the log of use; generating a predictive model derived from at least one of the survey response dataset and the behavioral dataset; generating comparisons of outputs of blocks of the method to threshold conditions; producing a set of indications corresponding to the set of patients, derived from generation of, for each of the set of patients, an indication in response to the comparisons; and transmitting a portion of the set of indications to the entity according to a resource constraint of the entity.Type: GrantFiled: March 14, 2016Date of Patent: August 18, 2020Assignee: Ginger.io, Inc.Inventors: Sai Moturu, Anmol Madan, Shishir Dash, Karim Wahba
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Patent number: 10368755Abstract: Provided are a device and method for receiving a fetal heart rate (FHR) signal at each interval during a monitoring period, receiving a uterine pressure (UP) signal at each of the intervals to obtain a plurality of FHR-UP signal pairs, and extracting a feature value for each FHR-UP signal pair, with the feature value being extracted from a predefined alphabet of feature values.Type: GrantFiled: November 28, 2017Date of Patent: August 6, 2019Assignee: The Research Foundation for The State University of New YorkInventors: Shishir Dash, J. Gerald Quirk, Petar Djuric
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Patent number: 10269448Abstract: A method and system for providing patient indications to an entity, the method comprising: for each of a set of patients: by way of an application executing at a mobile computing device, accessing a sensor system and a log of use of a communication application executing on the mobile computing device; receiving a survey response dataset; generating a behavioral dataset, derived from the sensor system and the log of use; generating a predictive model derived from at least one of the survey response dataset and the behavioral dataset; generating comparisons of outputs of blocks of the method to threshold conditions; producing a set of indications corresponding to the set of patients, derived from generation of, for each of the set of patients, an indication in response to the comparisons; and transmitting a portion of the set of indications to the entity according to a resource constraint of the entity.Type: GrantFiled: November 18, 2017Date of Patent: April 23, 2019Assignee: Ginger.io, Inc.Inventors: Sai Moturu, Anmol Madan, Shishir Dash, Karim Wahba
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Publication number: 20180342326Abstract: A method and system for modeling behavior and depression state of an individual, the method comprising: receiving a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing activity of the individual during the time period; receiving a survey dataset including responses, to at least one of a set of depression-assessment surveys, associated with a set of time points of the time period; generating a predictive analysis of a depression-risk state of the individual associated with at least a portion of the time period, from at least one of the log of use dataset, the supplementary dataset, and the survey dataset; and generating an alert upon detection that a set of parameters from the predictive analysis of the depression-risk state satisfy a threshold condition.Type: ApplicationFiled: August 7, 2018Publication date: November 29, 2018Inventors: Sai Moturu, Anmol Madan, Shishir Dash, Karim Wahba, Gourab De
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Publication number: 20180342325Abstract: A method and system for modeling behavior and a psychotic disorder-related state of a patient, the method comprising: receiving a log of use dataset associated with communication behavior of the patient during a time period; receiving a supplementary dataset characterizing mobility-behavior of the patient during the time period; generating a predictive model based upon a passive dataset derived from the log of use dataset and the supplementary dataset; transforming at least one of the passive dataset and an output of the predictive model into an analysis of a psychotic episode-risk state of the individual associated with at least a portion of the time period; and upon detection that parameters of the psychotic episode-risk state satisfy at least one threshold condition, automatically initiating provision of a therapeutic intervention for the individual by way of at least one of the computing system and the mobile communication device.Type: ApplicationFiled: August 7, 2018Publication date: November 29, 2018Inventors: Anmol Madan, Sai Moturu, Karim Wahba, Shishir Dash, Gourab De
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Patent number: 10068060Abstract: A method and system for modeling behavior and a psychotic disorder-related state of a patient, the method comprising: receiving a log of use dataset associated with communication behavior of the patient during a time period; receiving a supplementary dataset characterizing mobility-behavior of the patient during the time period; generating a predictive model based upon a passive dataset derived from the log of use dataset and the supplementary dataset; transforming at least one of the passive dataset and an output of the predictive model into an analysis of a psychotic episode-risk state of the individual associated with at least a portion of the time period; and upon detection that parameters of the psychotic episode-risk state satisfy at least one threshold condition, automatically initiating provision of a therapeutic intervention for the individual by way of at least one of the computing system and the mobile communication device.Type: GrantFiled: August 28, 2015Date of Patent: September 4, 2018Assignee: Ginger.io, Inc.Inventors: Anmol Madan, Sai Moturu, Karim Wahba, Shishir Dash, Gourab De
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Patent number: 10068670Abstract: A method and system for modeling behavior and depression state of an individual, the method comprising: receiving a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing activity of the individual during the time period; receiving a survey dataset including responses, to at least one of a set of depression-assessment surveys, associated with a set of time points of the time period; generating a predictive analysis of a depression-risk state of the individual associated with at least a portion of the time period, from at least one of the log of use dataset, the supplementary dataset, and the survey dataset; and generating an alert upon detection that a set of parameters from the predictive analysis of the depression-risk state satisfy a threshold condition.Type: GrantFiled: August 28, 2015Date of Patent: September 4, 2018Assignee: Ginger.io, Inc.Inventors: Sai Moturu, Anmol Madan, Shishir Dash, Karim Wahba, Gourab De
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Publication number: 20180101650Abstract: A method and system for providing patient indications to an entity, the method comprising: for each of a set of patients: by way of an application executing at a mobile computing device, accessing a sensor system and a log of use of a communication application executing on the mobile computing device; receiving a survey response dataset; generating a behavioral dataset, derived from the sensor system and the log of use; generating a predictive model derived from at least one of the survey response dataset and the behavioral dataset; generating comparisons of outputs of blocks of the method to threshold conditions; producing a set of indications corresponding to the set of patients, derived from generation of, for each of the set of patients, an indication in response to the comparisons; and transmitting a portion of the set of indications to the entity according to a resource constraint of the entity.Type: ApplicationFiled: November 18, 2017Publication date: April 12, 2018Inventors: Sai Moturu, Anmol Madan, Shishir Dash, Karim Wahba
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Publication number: 20180096738Abstract: A method and system for digitally providing healthcare to a patient, the method including receiving a log of use dataset associated with patient digital communication behavior at a mobile computing device, wherein the first log of use dataset corresponds to a time period; receiving a supplementary dataset corresponding to the time period; receiving a survey response dataset from the patient, the survey response dataset corresponding to the time period; receiving a care provider dataset in association with the time period; selecting a therapeutic intervention from a set of therapeutic interventions, based on processing with at least one of the first log of use dataset, the supplementary dataset, the survey response dataset, and the care provider dataset; generating a dynamic care plan modifiable over a time period; promoting the therapeutic intervention according to the dynamic care plan.Type: ApplicationFiled: November 19, 2017Publication date: April 5, 2018Inventors: Sai Moturu, Anmol Madan, Greg Elliot, Amanda Withrow, Shishir Dash
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Publication number: 20180078160Abstract: Provided are a device and method for receiving a fetal heart rate (FHR) signal at each interval during a monitoring period, receiving a uterine pressure (UP) signal at each of the intervals to obtain a plurality of FHR-UP signal pairs, and extracting a feature value for each FHR-UP signal pair, with the feature value being extracted from a predefined alphabet of feature values.Type: ApplicationFiled: November 28, 2017Publication date: March 22, 2018Inventors: Shishir DASH, J. Gerald QUIRK, Petar DJURIC
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Publication number: 20170004260Abstract: A method and system for digitally providing healthcare to a patient, the method including receiving a log of use dataset associated with patient digital communication behavior at a mobile computing device, wherein the first log of use dataset corresponds to a time period; receiving a supplementary dataset corresponding to the time period; receiving a survey response dataset from the patient, the survey response dataset corresponding to the time period; receiving a care provider dataset in association with the time period; selecting a therapeutic intervention from a set of therapeutic interventions, based on processing with at least one of the first log of use dataset, the supplementary dataset, the survey response dataset, and the care provider dataset; generating a dynamic care plan modifiable over a time period; promoting the therapeutic intervention according to the dynamic care plan.Type: ApplicationFiled: September 14, 2016Publication date: January 5, 2017Inventors: Sai Moturu, Anmol Madan, Greg Elliott, Amanda Withrow, Shishir Dash
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Publication number: 20160196389Abstract: A method and system for providing patient indications to an entity, the method comprising: for each of a set of patients: by way of an application executing at a mobile computing device, accessing a sensor system and a log of use of a communication application executing on the mobile computing device; receiving a survey response dataset; generating a behavioral dataset, derived from the sensor system and the log of use; generating a predictive model derived from at least one of the survey response dataset and the behavioral dataset; generating comparisons of outputs of blocks of the method to threshold conditions; producing a set of indications corresponding to the set of patients, derived from generation of, for each of the set of patients, an indication in response to the comparisons; and transmitting a portion of the set of indications to the entity according to a resource constraint of the entity.Type: ApplicationFiled: March 14, 2016Publication date: July 7, 2016Inventors: Sai Moturu, Anmol Madan, Shishir Dash, Karim Wahba
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Publication number: 20150370994Abstract: A method and system for modeling behavior and a psychotic disorder-related state of a patient, the method comprising: receiving a log of use dataset associated with communication behavior of the patient during a time period; receiving a supplementary dataset characterizing mobility-behavior of the patient during the time period; generating a predictive model based upon a passive dataset derived from the log of use dataset and the supplementary dataset; transforming at least one of the passive dataset and an output of the predictive model into an analysis of a psychotic episode-risk state of the individual associated with at least a portion of the time period; and upon detection that parameters of the psychotic episode-risk state satisfy at least one threshold condition, automatically initiating provision of a therapeutic intervention for the individual by way of at least one of the computing system and the mobile communication device.Type: ApplicationFiled: August 28, 2015Publication date: December 24, 2015Inventors: Anmol Madan, Sai Moturu, Karim Wahba, Shishir Dash, Gourab De
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Publication number: 20150370993Abstract: A method and system for modeling behavior and depression state of an individual, the method comprising: receiving a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing activity of the individual during the time period; receiving a survey dataset including responses, to at least one of a set of depression-assessment surveys, associated with a set of time points of the time period; generating a predictive analysis of a depression-risk state of the individual associated with at least a portion of the time period, from at least one of the log of use dataset, the supplementary dataset, and the survey dataset; and generating an alert upon detection that a set of parameters from the predictive analysis of the depression-risk state satisfy a threshold condition.Type: ApplicationFiled: August 28, 2015Publication date: December 24, 2015Inventors: Sai Moturu, Anmol Madan, Shishir Dash, Karim Wahba, Gourab De