Identifying Presence of Sleep Disturbance in Psychiatric Disorders from Electronic Health Records using Natural Language Processing

This study aims to develop an automated tool to identify presence of sleep disturbance from electronic health records and investigate how these symptoms relate to clinical outcomes in different psychiatric disorders, with a particular focus on affective and non-affective psychotic spectrum disorders, to identify the type of sleep disturbance (e.g. insomnia, hypersomnia) associated with these disorders, and to identify a temporal association between sleep disturbance and hospital admission.