International Business Machines Corporation

Mattia Tomasoni

Paul R Bastide

Anca Sailer

Sunil Kumar Mishra

Benjamin C Wisnewski

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.

Travel health optimization simulating health impact of intended user travel using cognitive analytics based on conditions at a geographic location

An entry on an allergen map may be generated by a computer system where a deep learning model is trained using online content data. Allergen content data which contains geographic data may be detected from the online content data. The allergen content data may be analyzed by the computer system and tagged with a quality and intensity indicator. Based on the tagging and the geographic location, an allergen map may be generated.

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Dublin, Ireland

Mattia Tomasoni