Abstract: In one embodiment, a method includes obtaining, from a demand-side platform (DSP), impression data specifying service providers and consumer tokens representing consumers who have received digital impressions of a set of advertising campaigns. A set of tokenized claims data records related to a prescription of a product is then received from a database server. A result set of integrated measurement records specifying measured campaigns linking the tokenized claims data records with impression data associated with consumer tokens and/or service provider identifiers is further received from the database server. Aggregated analytics reports based on the integrated measurement records are generated and presented.

Abstract: In one embodiment, a computer implemented method comprises receiving and storing in relational database tables in a secure data processing environment comprising one or more first virtual machine instances coupled to one or more first data stores, master data comprising records having first de-identified token values associated with health data and second data comprising records having second de-identified token values associated with historical media delivery data, wherein each of the master data and the second data comprise references to healthcare providers (HCPs) in addition to de-identified token values based on patients; in the secure data processing environment, executing one or more database table join operations based on the references to the HCPs to merge the master data and the second data to produce a joined table having records comprising third de-identified token values associated with the health data and the second data; receiving, using one or more virtual computing instances of a service prov

Abstract: A computer-implemented method comprising: storing, using a server computer executing within a protected environment, a plurality of media items, each of the media items corresponding to one of a plurality of different status values; receiving, from a requesting computing device that is outside the protected environment, a request to send certain media items outside the protected environment to a client computing device; computing, using a plurality of machine learning systems executed by the server computer, each of the machine learning systems having been trained with one of the plurality of status values as an output, a plurality of likelihood values associated with a particular status value for the client computing device, each of the machine learning systems having been trained at least in part using attribute values associated with health data records as inputs, and an existence or a non-existence of a one of the plurality of different status values as outputs, the server computer storing first data comp

Abstract: In one embodiment, a computer implemented method comprises receiving and storing in relational database tables in a secure data processing environment comprising one or more first virtual machine instances coupled to one or more first data stores, master data comprising records having first de-identified token values associated with health data and second data comprising records having second de-identified token values associated with historical media delivery data; in the secure data processing environment, executing one or more database table join operations to merge the master data and the second data to produce a joined table having records comprising third de-identified token values associated with the health data and the second data; receiving, using one or more virtual computing instances of a service provider environment, one or more filter specifications that define a target audience and a forecast request, and in real time in response to the forecast request: based on the one or more filter specific

Abstract: Systems and methods for protecting information used to train a machine learning system are described herein. In an embodiment, first data identifying one or more status values of a plurality of personal data records are been sent to a server computer from a processor server and stored in a de-identified manner through a generation of a unique identifier for each personal data record using a unique identifier generation scheme and encrypted using an encryption scheme. Second data comprising a plurality of attributes for each of the plurality of personal data records are also sent to the server computer from a database and stored in a de-identified manner through a generation of the unique identifier for each personal data record using the unique identifier generation scheme and encrypted using the encryption scheme. An external server transmits, to the server computer, instructions to generate a machine learning system and to train the machine learning system using the first data and the second data.

Abstract: Media items associated with status values are stored using a server in a protected environment. A device outside the protected environment requests sending media items to a client device that is also outside. Using machine learning systems that can be trained using attribute values associated with personal data records to output the existence of a status value, the server computer trains a particular machine learning system in the protected environment only if specified data meets specified criteria, then sends the resulting trained ML system to the requesting device. That device evaluates the trained ML system to determine which media items to deliver to the client device in the manner set forth in the claims.

Abstract: In one embodiment, a method includes obtaining, from a demand-side platform (DSP), impression data specifying service providers and consumer tokens representing consumers who have received digital impressions of a set of advertising campaigns. A set of tokenized claims data records related to a prescription of a product is then received from a database server. A result set of integrated measurement records specifying measured campaigns linking the tokenized claims data records with impression data associated with consumer tokens and/or service provider identifiers is further received from the database server. Aggregated analytics reports based on the integrated measurement records are generated and presented.

Abstract: In one embodiment, a method includes obtaining, from a demand-side platform (DSP), impression data specifying service providers and consumer tokens representing consumers who have received digital impressions of a set of advertising campaigns. A set of tokenized claims data records related to a prescription of a product is then received from a database server. A result set of integrated measurement records specifying measured campaigns linking the tokenized claims data records with impression data associated with consumer tokens and/or service provider identifiers is further received from the database server. Aggregated analytics reports based on the integrated measurement records are generated and presented.

Abstract: In one embodiment, a method includes obtaining, from a demand-side platform (DSP), impression data specifying service providers and consumer tokens representing consumers who have received digital impressions of a set of advertising campaigns. A set of tokenized claims data records related to a prescription of a product is then received from a database server. A result set of integrated measurement records specifying measured campaigns linking the tokenized claims data records with impression data associated with consumer tokens and/or service provider identifiers is further received from the database server. Aggregated analytics reports based on the integrated measurement records are generated and presented.

Abstract: In one embodiment, a method includes obtaining, from a demand-side platform (DSP), impression data specifying service providers and consumer tokens representing consumers who have received digital impressions of a set of advertising campaigns. A set of tokenized claims data records related to a prescription of a product is then received from a database server. A result set of integrated measurement records specifying measured campaigns linking the tokenized claims data records with impression data associated with consumer tokens and/or service provider identifiers is further received from the database server. Aggregated analytics reports based on the integrated measurement records are generated and presented.

Abstract: In one embodiment, a method includes obtaining, from a demand-side platform (DSP), impression data specifying service providers and consumer tokens representing consumers who have received digital impressions of a set of advertising campaigns. A set of tokenized claims data records related to a prescription of a product is then received from a database server. A result set of integrated measurement records specifying measured campaigns linking the tokenized claims data records with impression data associated with consumer tokens and/or service provider identifiers is further received from the database server. Aggregated analytics reports based on the integrated measurement records are generated and presented.

Abstract: Media items associated with status values are stored using a server in a protected environment. A device outside the protected environment requests sending media items to a client device that is also outside. Using machine learning systems that can be trained using attribute values associated with personal data records to output the existence of a status value, the server computer trains a particular machine learning system in the protected environment only if specified data meets specified criteria, then sends the resulting trained ML system to the requesting device. That device evaluates the trained ML system to determine which media items to deliver to the client device in the manner set forth in the claims.

Abstract: In one embodiment, a method includes obtaining, from a demand-side platform (DSP), impression data specifying service providers and consumer tokens representing consumers who have received digital impressions of a set of advertising campaigns. A set of tokenized claims data records related to a prescription of a product is then received from a database server. A result set of integrated measurement records specifying measured campaigns linking the tokenized claims data records with impression data associated with consumer tokens and/or service provider identifiers is further received from the database server. Aggregated analytics reports based on the integrated measurement records are generated and presented.