How to do things with (thousands of) words: Computational approaches to discourse analysis in Alzheimer's disease
Abstract Natural Language Processing (NLP) is an ever-growing field of computational
science that aims to model natural human language. Combined with advances in machine …
science that aims to model natural human language. Combined with advances in machine …
[HTML][HTML] Combining automatic speech recognition with semantic natural language processing in schizophrenia
Natural language processing (NLP) tools are increasingly used to quantify semantic
anomalies in schizophrenia. Automatic speech recognition (ASR) technology, if robust …
anomalies in schizophrenia. Automatic speech recognition (ASR) technology, if robust …
Applying speech technologies to assess verbal memory in patients with serious mental illness
Verbal memory deficits are some of the most profound neurocognitive deficits associated
with schizophrenia and serious mental illness in general. As yet, their measurement in …
with schizophrenia and serious mental illness in general. As yet, their measurement in …
Improving the applicability of AI for psychiatric applications through human-in-the-loop methodologies
C Chandler, PW Foltz, B Elvevåg - Schizophrenia Bulletin, 2022 - academic.oup.com
Objectives Machine learning (ML) and natural language processing have great potential to
improve efficiency and accuracy in diagnosis, treatment recommendations, predictive …
improve efficiency and accuracy in diagnosis, treatment recommendations, predictive …
Increasing access to cognitive screening in the elderly: Applying natural language processing methods to speech collected over the telephone
Barriers to healthcare access are widespread in elderly populations, with a major
consequence that older people are not benefiting from the latest technologies to diagnose …
consequence that older people are not benefiting from the latest technologies to diagnose …
[HTML][HTML] Machine learning for ambulatory applications of neuropsychological testing
Psychiatric patients, such as those suffering from depression or schizophrenia, often need to
be monitored with frequent clinical interviews by trained professionals to avoid costly …
be monitored with frequent clinical interviews by trained professionals to avoid costly …
The importance of loneliness in psychotic-like symptoms: Data from three studies
Poor social connection or loneliness is a prominent feature of schizotypy and may
exacerbate psychosis risk. Previous studies have examined the inter-relationships between …
exacerbate psychosis risk. Previous studies have examined the inter-relationships between …
Acceptability of collecting speech samples from the elderly via the telephone
Objective There is a critical need to develop rapid, inexpensive and easily accessible
screening tools for mild cognitive impairment (MCI) and Alzheimer's disease (AD). We report …
screening tools for mild cognitive impairment (MCI) and Alzheimer's disease (AD). We report …
Tracking language in real time in psychosis
TB Holmlund, TL Fedechko, B Elvevåg… - A clinical introduction to …, 2020 - Elsevier
Disturbance of language and communication is considered hallmark feature of
schizophrenia, and has disruptive effects for patients in daily life. Assessment of speech and …
schizophrenia, and has disruptive effects for patients in daily life. Assessment of speech and …
Predicting self-injurious thoughts in daily life using ambulatory assessment of state cognition
Self-injurious thoughts (SITs) fluctuate considerably from moment to moment. As
such,“static” and temporally stable predictors (eg, demographic variables, prior history) are …
such,“static” and temporally stable predictors (eg, demographic variables, prior history) are …