Fig. 8
Analysis of primary diagnosis, diagnosis, and differential diagnosis. (A) Distribution of LCC z-score for the largest connected components formed by symptoms corresponding to 53 differential diagnosis diseases. Of these, symptoms of 36 diseases form significantly clustered local modules (\(\:{z}_{LCC}>\)1.1). The red dashed line represents \(\:{z}_{LCC}\:\)= 1.1. (B) Distribution of network separation (Sab) for symptom clusters corresponding to all differential diagnosis disease pairs, with an average network separation < Sab> greater than 0, indicating that different differential diagnosis diseases form modules distant from each other. (C) Disease-symptom pairs are divided into primary diagnosis relationships and diagnosis relationships. Symptom-disease pairs in the primary diagnosis relationship (orange bars) show a shorter network distance than those in the diagnosis relationship (blue bars), indicating a stronger association in primary diagnosis relationships. (D) For example, symptoms such as “decreased interest” and “low mood” primarily diagnose “depressive episode” (with a very low network proximity z-score). They are included in the main clinical manifestations of “depressive episode” in real life. However, the symptom of “weird behavior”, having a higher network proximity z-score, indicates that it is not a main symptom of “depressive episode” but a main symptom of “schizophrenia”.
