AIMC Topic: Outcome Assessment, Health Care

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EvidenceOutcomes: A Dataset of Clinical Trial Publications with Clinically Meaningful Outcomes.

Studies in health technology and informatics
The fundamental process of evidence extraction in evidence-based medicine relies on identifying PICO elements, with Outcomes being the most complex and often overlooked. To address this, we introduce EvidenceOutcomes, a large annotated corpus of clin...

Prediction of treatment efficacy in the suanzaoren decoction and estazolam for chronic insomnia disorder, along with brain function and cognitive changes before and after treatment, and potential gene expression profiles.

Asian journal of psychiatry
OBJECTIVE: This study compared the brain function changes in chronic insomnia disorder (CID) before and after treatment by suanzaoren decoction (SZRD) and estazolam, to reveal their effects in cognition improvement, and to explore the potential genet...

Beyond total scores: Enhancing psychotherapy outcome prediction with item-level scores.

Journal of consulting and clinical psychology
OBJECTIVE: This study aims at improving dropout and treatment nonresponse prevention by optimizing the performance of models for their prediction through the integration of item-level data.

A novel artificial intelligence-based methodology to predict non-specific response to treatment.

Psychiatry research
Non-specific response to treatment (NSRT) is the primary contributor to the failure of randomized clinical trials in major depressive disorder (MDD). The objective of this study is to develop artificial neural network (ANN) models to predict the indi...

Estimating Treatment Effect Heterogeneity in Psychiatry: A Review and Tutorial With Causal Forests.

International journal of methods in psychiatric research
BACKGROUND: Flexible machine learning tools are increasingly used to estimate heterogeneous treatment effects.

Breaking Digital Health Barriers Through a Large Language Model-Based Tool for Automated Observational Medical Outcomes Partnership Mapping: Development and Validation Study.

Journal of medical Internet research
BACKGROUND: The integration of diverse clinical data sources requires standardization through models such as Observational Medical Outcomes Partnership (OMOP). However, mapping data elements to OMOP concepts demands significant technical expertise an...

AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validation.

Journal of the American Medical Informatics Association : JAMIA
The primary practice of healthcare artificial intelligence (AI) starts with model development, often using state-of-the-art AI, retrospectively evaluated using metrics lifted from the AI literature like AUROC and DICE score. However, good performance...

Using the Minnesota Multiphasic Personality Inventory-2 restructured form to predict functioning after treatment for borderline personality disorder: A machine learning approach.

Psychological assessment
Insight into predictors of functioning after treatment for borderline personality disorder (BPD) is limited, despite growing recognition that more focus on other aspects of recovery, especially psychosocial functioning, is warranted. The present stud...