Abstract: A computationally implemented method includes, but is not limited to: soliciting, based at least in part on a hypothesis that links one or more objective occurrences with one or more subjective user states and in response at least in part to an incidence of at least one objective occurrence, subjective user state data including data indicating incidence of at least one subjective user state associated with a user; and acquiring the subjective user state data including the data indicating incidence of at least one subjective user state associated with the user. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: Systems and articles of manufacture for implementing a method that includes, but is not limited to: acquiring objective occurrence data including data indicating occurrence of at least one objective occurrence; soliciting, in response to the acquisition of the objective occurrence data, subjective user state data including data indicating occurrence of at least one subjective user state associated with a user; acquiring the subjective user state data and correlating the subjective user state data with the objective occurrence data. In some implementations, the soliciting of the subjective user state data may involve soliciting the data from the user by requesting a selection of a subjective user state from a plurality of indicated alternative subjective user states.

Abstract: A computationally implemented method includes, but is not limited to: receiving a request for one or more personalized plans designed to facilitate an end user to achieve one or more target outcomes when one or more emulatable aspects indicated by the one or more personalized plans are emulated, the request identifying the one or more target outcomes; seeking one or more reported aspects that are relevant to achieving the one or more target outcomes in response to receiving the request; and developing the one or more personalized plans based, at least in part, on the seeking. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: A computationally implemented method includes, but is not limited to: detecting deviation from a compliant execution of a template by an end user, the template designed to facilitate the end user to achieve one or more target outcomes when one or more emulatable aspects included in the template are emulated, the one or more emulatable aspects being based on one or more relevant reported aspects of one or more source users that are relevant to achieving the one or more target outcomes; and executing one or more actions in response to the detecting of the deviation In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: A computationally implemented method includes, but is not limited to: identifying, in response to reception of one or more solicitations, one or more relevant reported aspects associated with one or more source users that are relevant to achieving one or more target outcomes, the identification of the one or more relevant reported aspects being based, at least in part, on relevancy of the one or more relevant reported aspects with respect to achieving the one or more target outcomes; and providing the one or more relevant reported aspects. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: A computationally implemented method includes, but is not limited to: receiving one or more requests indicating at least one or more target outcomes of one or more particular templates, the one or more particular templates designed to facilitate one or more end users to achieve the one or more target outcomes when one or more emulatable aspects included in the one or more particular templates are emulated; and providing from a plurality of templates the one or more particular templates, the providing being based at least on the one or more particular templates' association with the one or more target outcomes, the one or more particular templates developed based on one or more reported aspects of one or more source users In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: A computationally implemented method includes, but is not limited to: receiving one or more requests for one or more particular templates that are associated with one or more source users, the one or more particular templates designed to facilitate one or more end users to achieve one or more target outcomes when one or more emulatable aspects included in the one or more particular templates are emulated; and providing from a plurality of templates the one or more particular templates, the providing being based at least on the association of the one or more particular templates with the one or more source users, the one or more particular templates developed based on one or more reported aspects associated with the one or more source users In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: A computationally implemented method includes, but is not limited to: receiving one or more requests for one or more particular templates that are associated with one or more source users, the one or more particular templates designed to facilitate one or more end users to achieve one or more target outcomes when one or more emulatable aspects included in the one or more particular templates are emulated; and providing from a plurality of templates the one or more particular templates, the providing being based at least on the association of the one or more particular templates with the one or more source users, the one or more particular templates developed based on one or more reported aspects associated with the one or more source users In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: A computationally implemented method includes, but is not limited to: acquiring one or more relevant reported aspects associated with one or more source users that are relevant to achieving one or more target outcomes, the acquisition of the one or more relevant reported aspects being based, at least in part, on relevancy of the one or more relevant reported aspects with respect to the achievement of the one or more target outcomes; and developing one or more personalized plans designed to facilitate an end user to achieve the one or more target outcomes when one or more emulatable aspects indicated by the one or more personalized plans are emulated, the development of the one or more personalized plans being based, at least in part, on the acquiring In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: A computationally implemented method includes, but is not limited to: identifying one or more relevant reported aspects associated with one or more source users that are relevant to achieving one or more target outcomes, the identifying of the one or more relevant reported aspects being based, at least in part, on the one or more relevant reported aspects' relevancy with respect to the one or more target outcomes; and developing one or more personalized plans designed to facilitate an end user to achieve the one or more target outcomes when one or more emulatable aspects indicated by the one or more personalized plans are emulated, the development of the one or more personalized plans being based, at least in part, on the identifying In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: A computationally implemented method includes, but is not limited to: acquiring one or more relevant reported aspects associated with one or more source users that are relevant to achieving one or more target outcomes, the acquisition of the one or more relevant reported aspects being based, at least in part, on relevancy of the one or more relevant reported aspects with respect to the achievement of the one or more target outcomes; and developing one or more personalized plans designed to facilitate an end user to achieve the one or more target outcomes when one or more emulatable aspects indicated by the one or more personalized plans are emulated, the development of the one or more personalized plans being based, at least in part, on the acquiring In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: A computationally implemented method includes, but is not limited to: presenting to a user a hypothesis identifying at least a relationship between a first event type and a second event type; receiving from the user one or more modifications to modify the hypothesis; and executing one or more actions based, at least in part, on a modified hypothesis resulting, at least in part, from the reception of the one or more modifications. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: A computationally implemented method includes, but is not limited to: providing one or more reported aspects associated with one or more source users that were originally reported by one or more sensors; and developing one or more templates designed to facilitate one or more end users to achieve one or more target outcomes when one or more emulatable aspects indicated by the one or more templates are emulated, the development of the one or more templates being based at least on a portion of the one or more reported aspects In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: A computationally implemented method includes, but is not limited to: providing one or more reported aspects associated with one or more source users that were originally reported by one or more sensors; and developing one or more templates designed to facilitate one or more end users to achieve one or more target outcomes when one or more emulatable aspects indicated by the one or more templates are emulated, the development of the one or more templates being based at least on a portion of the one or more reported aspects In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: A computationally implemented method includes, but is not limited to: acquiring a first data indicating at least one reported event as originally reported by a user and a second data indicating at least a second reported event as originally reported by one or more sensing devices; and developing a hypothesis based, at least in part, on the first data and the second data. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: A computationally implemented method includes, but is not limited to: identifying one or more relevant reported aspects associated with one or more source users that are relevant to achieving one or more target outcomes, the identifying of the one or more relevant reported aspects being based, at least in part, on the one or more relevant reported aspects' relevancy with respect to the one or more target outcomes; and developing one or more personalized plans designed to facilitate an end user to achieve the one or more target outcomes when one or more emulatable aspects indicated by the one or more personalized plans are emulated, the development of the one or more personalized plans being based, at least in part, on the identifying. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: A computationally implemented method includes, but is not limited to: receiving a request for one or more personalized plans designed to facilitate an end user to achieve one or more target outcomes when one or more emulatable aspects indicated by the one or more personalized plans are emulated, the request identifying the one or more target outcomes; seeking one or more reported aspects that are relevant to achieving the one or more target outcomes in response to receiving the request; and developing the one or more personalized plans based, at least in part, on the seeking. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: A computationally implemented method includes, but is not limited to: selecting at least one hypothesis from a plurality of hypotheses relevant to a user, the selection of the at least one hypothesis being based, at least in part, on at least one reported event associated with the user; and presenting one or more advisories related to the hypothesis. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: A computationally implemented method includes, but is not limited to: selecting at least one hypothesis from a plurality of hypotheses relevant to a user, the selection of the at least one hypothesis being based, at least in part, on at least one reported event associated with the user; and presenting one or more advisories related to the hypothesis. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: Systems and methods are described relating to accepting user input relating to a plurality of health service option selection factors; presenting a plurality of choices for at least one of the health service option selection factors; and presenting at least one outcome output based on a selection of at least one of the plurality of choices for at least one of the health service option selection factors.