Resources hosted on the Internet constitute a rich data source for natural language processing tasks such as named entity recognition, relation extraction, and sentiment analysis. In particular, such platforms about health provide a different insight into patient’s experiences with diseases. It becomes possible to collect disease symptoms and compile a dataset that can serve as a basis for telemedicine applications. This paper aimed to report a study of entities related to chronic diseases and their relation in user-generated text posts.