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Self-harm is preventable if the risk can be identified early. The co-occurrence of multiple diseases is related to self-harm risk. This study develops a comorbidity network-based deep learning framework to improve the prediction of individual self-harm. Between 01/01/2007-12/31/2010, we obtained 2,323 patients with self-harm records and 46,460 randomly sampled controls from 1,764,094 inpatients across 44 public hospitals in Hong Kong. 80% of the samples were randomly selected for model training, and the remaining 20% were set aside