Cancer is associated not only with mortality, but also with impacts on physical, mental, and social health. When unmet, psychosocial needs are associated with worsened quality-of-life and survival. This dissertation investigates the use of neural language models to predict psychosocial needs of cancer patients from clinical documents.
This doctoral dissertation explores the application of neural language models to predict and address psychosocial needs in cancer patients, contributing to the field of AI in oncology and mental health care.