4004 ESC Guidelines label use of medication should be limited to situations where it is in
the patient's interest to do so, with regard to the quality, safety, and efficacy of care, and only …

The field of psychiatry is hampered by a lack of robust, reliable and valid biomarkers that can
aid in objectively diagnosing patients and providing individualized treatment …

Clinicians often ask biostatisticians to provide a judge ment on the quality of a prediction
model. The prediction quality can be assessed with different performance criteria, with …

Abstract Machine learning is increasingly used in mental health research and has the
potential to advance our understanding of how to characterize, predict, and treat mental …

In recent years, many new clinical diagnostic tools have been developed using complicated
machine learning methods. Irrespective of how a diagnostic tool is derived, it must be …

Our primary objective is to provide the clinical informatics community with an introductory
tutorial on calibration measurements and calibration models for predictive models using …

Cardiovascular disease (CVD) is the leading cause of death worldwide and a major public
health concern. CVD prediction is one of the most effective measures for CVD control. In this …

In 2019, the Japanese Circulation Society published 2 guidelines in the field of coronary
artery disease (CAD):(1) a guideline for acute coronary syndrome (ACS) that integrated …

Prediction models aim to use available data to predict a health state or outcome that has not
yet been observed. Prediction is primarily relevant to clinical practice, but is also used in …

Background Randomised controlled trials are considered the gold standard for testing the
efficacy of novel therapeutic interventions, and typically report the average treatment effect …