Using big data and artificial intelligence techniques, it becomes possible to envision algorithms for managing childhood asthma on a daily basis.~In order to develop such tools, it is necessary to determine with asthma stakeholders (children, parents, doctors) the parameters that future algorithms should seek to maximize / minimize.~The main objective of the study is to quantify the respective importance of each of the goals that children with asthma, parents, and their doctors seek to achieve when taking / supervising / prescribing a background therapy.~To do this, parents and children fill out a paper questionnaire, which is completed by their doctor, when they come to the hospital for consultation, hospitalization, or to perform lung function tests.~Concerning children and parents, these questionnaires include a part aimed at prioritizing each person's objectives and a second part collecting general information regarding their characteristics (age, sex, asthma history, etc.).
Using big data and artificial intelligence techniques, it becomes possible to envision algorithms for managing childhood asthma on a daily basis.~In order to develop such tools, it is necessary to determine with asthma stakeholders (children, parents, doctors) the parameters that future algorithms should seek to maximize / minimize.~The main objective of the study is to quantify the respective importance of each of the goals that children with asthma, parents, and their doctors seek to achieve when taking / supervising / prescribing a background therapy.