# US 2018/0025124 A1 · Systems and methods for identifying content based on user interactions > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2018/0025124 A1 - Document ID: US20180025124A1 - Status: Published application - Kind: A1 - Application number: 15/654,245 - Filed: 2017-07-19 - Published: 2018-01-25 - Earliest claimed: 2016-07-19 - Assignees: Northwestern University - Applicants: Northwestern University - Inventors: David C. Mohr; Christopher Karr - Web page: https://patentgrep.com/patent/US20180025124A1 ## CPC - G16H 50/30: for calculating health indices; for individual health risk assessment - G06F 3/048: Interaction techniques based on graphical user interfaces [GUI] - G06N 20/00: Machine learning - H04L 67/535: {Tracking the activity of the user (network monitoring arrangements H04L43/00; recording of computer activity G06F11/34)} - G06N 5/02: Knowledge representation; Symbolic representation - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) ## Abstract Disclosed is an intelligent recommendation system for identifying and/or providing personalized one or more independent applications and/or healthcare related media content (e.g., multimedia content and applications involved in healthcare or the treatment of various health conditions of a user) to a plurality of user devices and/or client devices. ## Claims ### Claim 1 A system comprising: one or more computer readable storage media; and a recommendation application comprising instructions stored on the one or more computer readable media, wherein the instructions, when executed by one or more computing devices, cause the one or more computing devices to: obtain data defining user interactions of a user occurring at a plurality of independent applications included in a platform, wherein each application of the plurality of applications corresponds to a health condition of the user; based on the user interactions, identify a pattern of engagement defining the user's engagement with at least one independent application of the plurality of independent applications during a specific period of time; and identify an independent application for integration into the platform, based on the pattern of engagement. ### Claim 2 (depends on 1) The system of claim 1, wherein the platform, when executed by the one or more computing devices, generates a graphical user-interface providing access to each independent application of the plurality of independent applications included in the platform and the independent application. ### Claim 3 (depends on 1) The system of claim 1, wherein the pattern of engagement identifies that the user interacts with the at least one independent application most often relative to other independent applications of the plurality of independent applications included in the platform. ### Claim 4 (depends on 1) The system of claim 1, wherein the pattern of engagement comprises at least one feature that corresponds to an aspect of the user's health. ### Claim 5 (depends on 4) The system of claim 4, wherein the instructions further cause the one or more computing devices to execute an automated learning algorithm to combine the at least one feature with similar features of an overall user-population. ### Claim 6 (depends on 1) The system of claim 1, wherein the independent application maximizes the expected outcome of user interactions with the independent application. ### Claim 7 (depends on 1) The system of claim 1, wherein the instructions further cause the one or more computing devices to: access one or more portions of health care information associated with the user; determine from the accessed health care information, one or more health care concerns associated with the user; and include the plurality of independent applications in the platform based on the determined one or more health care concerns. ### Claim 8 A method comprising: obtaining, using one or more computing devices, data defining user interactions of a user occurring at a plurality of independent applications included in a platform, wherein each application of the plurality of applications corresponds to a health condition of the user; based on the user interactions, using the one or more computing devices, identifying a pattern of engagement defining the user's engagement with at least one independent application of the plurality of independent applications included in the platform, during a specific period of time; and identifying, using the one or more computing devices, an independent application for integration into the platform, based on the pattern of engagement. ### Claim 9 (depends on 8) The method of claim 8, further comprising generating a graphical user-interface providing access to each independent application of the plurality of independent applications included in the platform and the independent application. ### Claim 10 (depends on 8) The method of claim 8, wherein the pattern of engagement identifies that the user interacts with the at least one independent application most often relative to other independent applications in the plurality of independent applications included in the platform. ### Claim 11 (depends on 8) The method of claim 8, wherein the pattern of engagement comprises at least one feature that corresponds to an aspect of the user's health. ### Claim 12 (depends on 11) The method of claim 11, further comprising executing an automated learning algorithm to combine the at least one feature with similar features of an overall user-population. ### Claim 13 (depends on 8) The method of claim 8, wherein the application maximize the expected outcome of user interactions with the independent application. ### Claim 14 (depends on 8) The method of claim 8, further comprising: accessing one or more portions of health care information associated with the user; determining from the accessed health care information, one or more health care concerns associated with the user; and including the plurality of independent applications in the platform based on the determined one or more health care concerns. ### Claim 15 A non-transitory computer readable medium encoded with instructions, the instructions, executable by one or more computing devices, comprising: obtaining data defining user interactions of a user occurring at a plurality of independent applications included in a platform, wherein each application of the plurality of applications corresponds to a health condition of the user; based on the user interactions, using the one or more computing devices, identifying a pattern of engagement defining the user's engagement with at least one independent application of the plurality of independent applications included in the platform, during a specific period of time; and identifying, using the one or more computing devices, an independent application for integration into the platform, based on the pattern of engagement. ### Claim 16 (depends on 15) The non-transitory computer readable medium of claim 15, further comprising generating a graphical user-interface providing access to each independent application of the plurality of independent applications included in the platform and the independent application. ### Claim 17 (depends on 15) The non-transitory computer readable medium of claim 15, wherein the pattern of engagement identifies that the user interacts with the at least one independent application most often relative to other independent applications in the plurality of independent applications included in the platform. ### Claim 18 (depends on 15) The non-transitory computer readable medium of claim 15, wherein the pattern of engagement comprises at least one feature that corresponds to an aspect of the user's health. ### Claim 19 (depends on 18) The non-transitory computer readable medium of claim 18, further comprising executing an automated learning algorithm to combine the at least one feature with similar features of an overall user-population. ### Claim 20 (depends on 15) The non-transitory computer readable medium of claim 15, wherein the application maximize the expected outcome of user interactions with the independent application. ### Claim 21 (depends on 15) The non-transitory computer readable medium of claim 15, further comprising: accessing one or more portions of health care information associated with the user; determining from the accessed health care information, one or more health care concerns associated with the user; and including the plurality of independent applications in the platform based on the determined one or more health care concerns.