Research Talk - Complex Models to Understand Complex Health Decisions

Posted on Thursday, February 1, 2018

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Speaker: Rahmatollah Beheshti
Date: Tuesday, Feb 13, 2013
Time: 10 am
Location: ITE 459

Abstract: Most of the health conditions are directly or indirectly resulted from humans' decisions. These decisions are affected by a wide range of personal and environmental factors. While understanding health decision-making processes can lead to significant breakthroughs in both treatment and prevention of different diseases, due to their complex nature, our knowledge about many of these processes is very limited. Computational and data-driven techniques are increasingly considered as powerful options to understand the complexities of these processes. In his talk, Dr. Beheshti will present several projects in the areas of smoking and obesity in which he has used complex systems and AI methods to study health behaviors. Specifically, he will talk about one of his recent projects about the role of price in food decision-making.

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