Figure 1.

A schematic diagram of the disease identification algorithm. This figure shows how this study’s algorithm determines which disease categories are present in a hypothetical example that is representative of web-based medical crowdfunding text. Medical conditions are identified in the text by using a named entity recognition model to identify diagnoses and keyword searches to identify treatments and procedures. Diagnoses identified by the named entity recognition model are assigned to best-matching ICD-10-CM codes by using an entity resolution model and grouped according to the disease category definitions outlined in the Methods section. Treatments and procedures were used to indicate the presence of corresponding disease categories (defined in Table 1). GU: genitourinary; ICD-10-CM: International Classification of Diseases, 10th Revision, Clinical Modification.