A Cyclic Risk-Assessment Visualization of Habits in Childhood Obesity Treatment

Detta är en Master-uppsats från KTH/Skolan för elektroteknik och datavetenskap (EECS)

Författare: Timmy Nielsen; [2021]

Nyckelord: ;

Sammanfattning: Health care is a field of importance to individuals as well as society as a whole. As an industry devoted to improving and maintaining both the physical and psychological condition of the people, it is important that we keep it up to date with current technological advancements. One aspect with room for improvement within health care is visualization technology - a tool for expressing information in an intuitive manner through graphical representation techniques. This thesis investigates the extent that evaluation of patient habits can be improved by applying visualization technology in a way that has not yet been explored to its full potential. The standard treatment evaluation process today consists of collecting patient lifestyle and habit data through questionnaires or an interview. To present a treatment plan the data is analyzed to reach a result. This is mainly done manually, meaning the evaluator spends a lot of time filtering and translating to ensure the information is comprehensible to the patient. The solution implements the full pipeline from a front-end questionnaire process to a visualization of the results. The questionnaire includes a scoring and tagging system to handle the relevance and mapping of questions to a time interval. The visualization presents the questionnaire answers in an informative manner for the patient to get an intuitive understanding of habits in need of improvement. Thesis results indicate great potential for the solution. The user-studies conducted show an average response score of above 8/10 concerning the general impression of the solution and compared to current evaluation techniques. 

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