Background Machine learning systems are part of the field of artificial intelligence that
automatically learn models from data to make better decisions. Natural language processing …

Background: Clinical narratives represent the main form of communication within health
care, providing a personalized account of patient history and assessments, and offering rich …

Objective This article methodically reviews the literature on deep learning (DL) for natural
language processing (NLP) in the clinical domain, providing quantitative analysis to answer …

The pervasive use of electronic health databases has increased the accessibility of free-text
clinical reports for supplementary use. Several text classification approaches, such as …

Schizophrenia (SCZ) is a complex, heritable and polygenic neuropsychiatric disease, which
disables the patients as well as decreases their life expectancy and quality of life. Common …

Background Patients with cancer often have unmet psychosocial needs. Early detection of
who requires referral to a counsellor or psychiatrist may improve their care. This work used …

Abstract Information relevant to mental health is commonly recorded as unstructured
narrative text. This text may be part of a clinical record, a social media post, a diary, or a …

Extracting research of domain criteria (RDoC) from high-risk populations like those with post-
traumatic stress disorder (PTSD) is crucial for positive mental health improvements and …

Background and objective Efficiently capturing the severity of positive valence symptoms
could aid in risk stratification for adverse outcomes among patients with psychiatric disorders …

Background: Patient access to electronic health records (EHRs) is associated with increased
patient engagement and health care quality outcomes. However, the adoption of patient …