Predictive models for clinical decision making: Deep dives in practical machine learning
S Eloranta, M Boman - Journal of Internal Medicine, 2022 - Wiley Online Library
The deployment of machine learning for tasks relevant to complementing standard of care
and advancing tools for precision health has gained much attention in the clinical …
and advancing tools for precision health has gained much attention in the clinical …
Social network for collaborative learning: what are the determining factors?
Despite the disruptiveness caused by the COVID-19 pandemic in the Global South, the
superficial and lacklustre use of information technology has been exposed, especially in the …
superficial and lacklustre use of information technology has been exposed, especially in the …
Deep learning for the prediction of clinical outcomes in internet-delivered CBT for depression and anxiety
In treating depression and anxiety, just over half of all clients respond. Monitoring and
obtaining early client feedback can allow for rapidly adapted treatment delivery and improve …
obtaining early client feedback can allow for rapidly adapted treatment delivery and improve …
Predicting remission after internet-delivered psychotherapy in patients with depression using machine learning and multi-modal data
This study applied supervised machine learning with multi-modal data to predict remission
of major depressive disorder (MDD) after psychotherapy. Genotyped adult patients (n= 894 …
of major depressive disorder (MDD) after psychotherapy. Genotyped adult patients (n= 894 …
Methodological choices and clinical usefulness for machine learning predictions of outcome in Internet-based cognitive behavioural therapy
Background While psychological treatments are effective, a substantial portion of patients do
not benefit enough. Early identification of those may allow for adaptive treatment strategies …
not benefit enough. Early identification of those may allow for adaptive treatment strategies …
Swedish multimodal cohort of patients with anxiety or depression treated with internet-delivered psychotherapy (MULTI-PSYCH)
Purpose Depression and anxiety afflict millions worldwide causing considerable disability.
MULTI-PSYCH is a longitudinal cohort of genotyped and phenotyped individuals with …
MULTI-PSYCH is a longitudinal cohort of genotyped and phenotyped individuals with …
From research to routine care: A historical review of internet-based cognitive behavioral therapy for adult mental health problems in Sweden
This narrative historical review examines the development of internet-based cognitive
behavioral therapy (ICBT) in Sweden, describing its progression within both academic and …
behavioral therapy (ICBT) in Sweden, describing its progression within both academic and …
[HTML][HTML] Clinically sufficient classification accuracy and key predictors of treatment failure in a randomized controlled trial of Internet-delivered Cognitive Behavior …
Abstract Background In Adaptive Treatment Strategies, each patient's outcome is predicted
early in treatment, and treatment is adapted for those at risk of failure. It is unclear what …
early in treatment, and treatment is adapted for those at risk of failure. It is unclear what …
Incorporating a deep‐learning client outcome prediction tool as feedback in supported internet‐delivered cognitive behavioural therapy for depression and anxiety: A …
Introduction Machine learning techniques have been leveraged to predict client
psychological treatment outcomes. Few studies, however, have tested whether providing …
psychological treatment outcomes. Few studies, however, have tested whether providing …
Human-curated validation of machine learning algorithms for health data
M Boman - Digital Society, 2023 - Springer
Validation of machine learning algorithms that take health data as input is analysed,
leveraging on an example from radiology. A 2-year study of AI use in a university hospital …
leveraging on an example from radiology. A 2-year study of AI use in a university hospital …