Psychotic disorders as a framework for precision psychiatry

F Coutts, N Koutsouleris, P McGuire - Nature Reviews Neurology, 2023 - nature.com
People with psychotic disorders can show marked interindividual variations in the onset of
illness, responses to treatment and relapse, but they receive broadly similar clinical care …

Enhancing readmission prediction models by integrating insights from home healthcare notes: Retrospective cohort study

S Gan, C Kim, J Chang, DY Lee, RW Park - International Journal of Nursing …, 2024 - Elsevier
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 …

Neuroimaging and natural language processing-based classification of suicidal thoughts in major depressive disorder

DY Lee, G Byeon, N Kim, SJ Son, RW Park… - Translational …, 2024 - nature.com
Suicide is a growing public health problem around the world. The most important risk factor
for suicide is underlying psychiatric illness, especially depression. Detailed classification of …

[HTML][HTML] Explainable multimodal prediction of treatment-resistance in patients with depression leveraging brain morphometry and natural language processing

DY Lee, N Kim, CH Park, S Gan, SJ Son, RW Park… - Psychiatry …, 2024 - Elsevier
Although 20% of patients with depression receiving treatment do not achieve remission,
predicting treatment-resistant depression (TRD) remains challenging. In this study, we …

[HTML][HTML] Chronic disease prediction using the common data model: development study

C Lee, B Jo, H Woo, Y Im, RW Park, CH Park - JMIR AI, 2022 - ai.jmir.org
Background Chronic disease management is a major health issue worldwide. With the
paradigm shift to preventive medicine, disease prediction modeling using machine learning …

[HTML][HTML] Identifying Psychosis Episodes in Psychiatric Admission Notes via Rule-based Methods, Machine Learning, and Pre-Trained Language Models

Y Hua, SV Blackley, AK Shinn, JP Skinner, LV Moran… - medRxiv, 2024 - ncbi.nlm.nih.gov
Early and accurate diagnosis is crucial for effective treatment and improved outcomes, yet
identifying psychotic episodes presents significant challenges due to its complex nature and …

[HTML][HTML] Identifying Psychosis Episodes in Psychiatric Admission Notes via Rule-based Methods, Machine Learning, and Pre-Trained Language Models

S Blackley, A Shinn, J Skinner, L Moran, L Zhou - Research …, 2024 - ncbi.nlm.nih.gov
Early and accurate diagnosis is crucial for effective treatment and improved outcomes, yet
identifying psychotic episodes presents significant challenges due to its complex nature and …

Applications of AI in Healthcare

J Zhang, S Whebell - Translational Application of Artificial …, 2024 - taylorfrancis.com
While the science around Artificial Intelligence (AI) has seen substantial progress in recent
years, its broad application to healthcare use cases has proven more difficult. This chapter …

An Analytical Framework for Mental Healthcare Operations Management

H Hejazian - 2024 - search.proquest.com
Healthcare operations management is dedicated to enhancing the processes within health
systems to optimize the quality of care and improve patient outcomes. This field's challenges …

Bruk av naturlig språkprosessering i psykiatri: En systematisk kartleggingsoversikt

LR Haglund - 2023 - munin.uit.no
Bakgrunn: Bruk av kunstig intelligens (AI) har et stadig økende fokus, også i helsevesenet.
En metode som virker lovende, er naturlig språkprosessering (NLP), som kan brukes til …