Introduction Language disorders–disorganized and incoherent speech in particular-are
distinctive features of schizophrenia. Natural language processing (NLP) offers automated …

Automated language analysis of speech has been shown to distinguish healthy control (HC)
vs chronic schizophrenia (SZ) groups, yet the predictive power on first-episode psychosis …

Background and hypothesis Speech is a promising marker to aid diagnosis of schizophrenia-
spectrum disorders, as it reflects symptoms like thought disorder and negative symptoms …

Background Transformer-based language models have shown great potential to
revolutionize health care by advancing clinical decision support, patient interaction, and …

Background BERT models have seen widespread use on unstructured text within the clinical
domain. However, little to no research has been conducted into classifying unstructured …

Background Most previous studies make psychiatric diagnoses based on diagnostic terms.
In this study we sought to augment Diagnostic and Statistical Manual of Mental Disorders …

Older people with polypharmacy and multimorbidity are at high risk for adverse drug
reactions (ADRs) due to drug-drug interactions and age-related changes in …

A pre-trained Transformer was inplemented wirh the aim of optimizing the extraction of
diagnosis classifications from Dutch psychiatric texts. Within this process, the following …