Publications
AIM in Eating Disorders
| Publication Type | Book Section |
| Authors | |
| Title | AIM in Eating Disorders |
| Abstract | Over the past decades, the burden of eating disorders (ED) and comorbidities increased worldwide. Assisting diet monitoring with AI methods and Automated Dietary Montoring (ADM) can support ED risk prediction, diagnosis, tracking associated symptoms, and medical guidance during a long-term behaviour change process. This chapter gives an overview of important directions in AI in the field of EDs and obesity. State-of-the-art methods and technologies for ADM are summarised in connection to digital biomarkers that reflect diet-related behaviour in general. Two sensor-based ADM examples are detailed: food type classification and eating timing estimation. On the example of anorexia nervosa (AN), diet-related psychological parameters are detailed and AI-based approaches to supportANdiagnosis and treatment are described. |
| Book Title | Artificial Intelligence in Medicine |
| Edition | Living reference work |
| Place | Cham |
| Publisher | Springer International Publishing |
| Date | 2021 |
| ISBN | 978-3-030-58080-3 |
| URL | Publisher's website |
| Full Text |