Abstract: Example techniques are described for determining a dynamic traffic-management plan based on factors such as predicted increases in traffic and known-structurally-deficient transportation infrastructure. Traffic patterns may be re-routed, particularly during high-congestion events, to reduce or avoid excessive weight loads travelling across weakened sections of roads, bridges, or the like.

Abstract: A geographic location to which a user intends to travel, medical information pertaining to the user and conditions at the geographic location that impact health of human beings can be identified. A health impact model can be created for the user, the health impact model analyzing the determined conditions at the geographic location in a context of the accessed medical information pertaining to the user. Based on the analyzing by the health impact model, a score can be assigned to an anticipated health impact on the user of the identified conditions at the geographic location. If the score assigned to the anticipated health impact on the user of the identified conditions at the geographic location exceeds a threshold value, at least one action for the user can be automatically initiated and controlled.

Abstract: The present disclosure provides for multi-stage treatment recommendations via analyzing a plurality of regimens for treatment of a condition based on a plurality of historical assessments of a plurality of patients who were treated using at least one of the plurality of regimens, wherein sets of historical assessments of the plurality of historical assessments track individual patients of the plurality of patients over time through changes in selected regimens of the plurality of regimens for the individual patients resulting in changes in levels of dysfunction; receiving a new assessment associated with a given patient; scoring, via a machine learning tool, the new assessment based on values for a plurality of variables included in the new assessment; and recommending a given regimen of the plurality of regimens for the given patient based on a category of the plurality of regimens that the plurality of ranked variables place the given patient into.

Abstract: Example techniques are described for determining a dynamic traffic-management plan based on factors such as predicted increases in traffic and known-structurally-deficient transportation infrastructure. Traffic patterns may be re-routed, particularly during high-congestion events, to reduce or avoid excessive weight loads travelling across weakened sections of roads, bridges, or the like.

Abstract: A geographic location to which a user intends to travel, medical information pertaining to the user and conditions at the geographic location that impact health of human beings can be identified. A health impact model can be created for the user, the health impact model analyzing the determined conditions at the geographic location in a context of the accessed medical information pertaining to the user. Based on the analyzing by the health impact model, a score can be assigned to an anticipated health impact on the user of the identified conditions at the geographic location. If the score assigned to the anticipated health impact on the user of the identified conditions at the geographic location exceeds a threshold value, at least one action for the user can be automatically initiated and controlled.