[HTML][HTML] Natural language processing applied to mental illness detection: a narrative review
Mental illness is highly prevalent nowadays, constituting a major cause of distress in
people's life with impact on society's health and well-being. Mental illness is a complex multi …
people's life with impact on society's health and well-being. Mental illness is a complex multi …
Use of unstructured text in prognostic clinical prediction models: a systematic review
Objective This systematic review aims to assess how information from unstructured text is
used to develop and validate clinical prognostic prediction models. We summarize the …
used to develop and validate clinical prognostic prediction models. We summarize the …
[HTML][HTML] Conceptualising fairness: three pillars for medical algorithms and health equity
Objectives Fairness is a core concept meant to grapple with different forms of discrimination
and bias that emerge with advances in Artificial Intelligence (eg, machine learning, ML). Yet …
and bias that emerge with advances in Artificial Intelligence (eg, machine learning, ML). Yet …
Enhancing readmission prediction models by integrating insights from home healthcare notes: Retrospective cohort study
Background Hospital readmission is an important indicator of inpatient care quality and a
significant driver of increasing medical costs. Therefore, it is important to explore the effects …
significant driver of increasing medical costs. Therefore, it is important to explore the effects …
Using large language models to detect outcomes in qualitative studies of adolescent depression
Objective We aim to use large language models (LLMs) to detect mentions of nuanced
psychotherapeutic outcomes and impacts than previously considered in transcripts of …
psychotherapeutic outcomes and impacts than previously considered in transcripts of …
Psychosis relapse prediction leveraging electronic health records data and natural language processing enrichment methods
Background Identifying patients at a high risk of psychosis relapse is crucial for early
interventions. A relevant psychiatric clinical context is often recorded in clinical notes; …
interventions. A relevant psychiatric clinical context is often recorded in clinical notes; …
Sentiment classification for employees reviews using regression vector-stochastic gradient descent classifier (RV-SGDC)
B Gaye, D Zhang, A Wulamu - PeerJ Computer Science, 2021 - peerj.com
The satisfaction of employees is very important for any organization to make sufficient
progress in production and to achieve its goals. Organizations try to keep their employees …
progress in production and to achieve its goals. Organizations try to keep their employees …
The PSYchiatric clinical outcome prediction (PSYCOP) cohort: leveraging the potential of electronic health records in the treatment of mental disorders
Background: The quality of life and lifespan are greatly reduced among individuals with
mental illness. To improve prognosis, the nascent field of precision psychiatry aims to …
mental illness. To improve prognosis, the nascent field of precision psychiatry aims to …
Capturing concerns about patient deterioration in narrative documentation in home healthcare
Home healthcare (HHC) agencies provide care to more than 3.4 million adults per year.
There is value in studying HHC narrative notes to identify patients at risk for deterioration …
There is value in studying HHC narrative notes to identify patients at risk for deterioration …
Predicting which patients with cancer will see a psychiatrist or counsellor from their initial oncology consultation document using natural language processing
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 …
who requires referral to a counsellor or psychiatrist may improve their care. This work used …