Resumen
Cancer stands as a leading cause of death globally and remains a significant threat to public health in developed nations. With an anticipated rise in cancer cases, the number of survivors is also expected to increase, many of whom grapple with distorted body image perception. Addressing the common poor quality of life among cancer patients and survivors necessitates monitoring emotions and body perception to mitigate psychological burdens. Given the strain on healthcare resources, exploring automated screening methods for cancer patients is crucial. This article proposes leveraging Natural Language Processing for monitoring body image perception in enterally fed patients with head and neck or upper gastrointestinal tract cancers, offering potential advancements in care delivery and patient support within oncology settings.