Supervised machine learning: a brief primer
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 …
potential to advance our understanding of how to characterize, predict, and treat mental …
High-performance medicine: the convergence of human and artificial intelligence
EJ Topol - Nature medicine, 2019 - nature.com
The use of artificial intelligence, and the deep-learning subtype in particular, has been
enabled by the use of labeled big data, along with markedly enhanced computing power …
enabled by the use of labeled big data, along with markedly enhanced computing power …
[HTML][HTML] Ethics and governance of trustworthy medical artificial intelligence
J Zhang, Z Zhang - BMC medical informatics and decision making, 2023 - Springer
Background The growing application of artificial intelligence (AI) in healthcare has brought
technological breakthroughs to traditional diagnosis and treatment, but it is accompanied by …
technological breakthroughs to traditional diagnosis and treatment, but it is accompanied by …
Artificial intelligence, bias and clinical safety
In medicine, artificial intelligence (AI) research is becoming increasingly focused on
applying machine learning (ML) techniques to complex problems, and so allowing …
applying machine learning (ML) techniques to complex problems, and so allowing …
Depression and hopelessness as risk factors for suicide ideation, attempts and death: meta-analysis of longitudinal studies
BackgroundMany studies have documented robust relationships between depression and
hopelessness and subsequent suicidal thoughts and behaviours; however, much weaker …
hopelessness and subsequent suicidal thoughts and behaviours; however, much weaker …
Prediction models for suicide attempts and deaths: a systematic review and simulation
BE Belsher, DJ Smolenski, LD Pruitt, NE Bush… - JAMA …, 2019 - jamanetwork.com
Importance Suicide prediction models have the potential to improve the identification of
patients at heightened suicide risk by using predictive algorithms on large-scale data …
patients at heightened suicide risk by using predictive algorithms on large-scale data …
On the ethics of algorithmic decision-making in healthcare
In recent years, a plethora of high-profile scientific publications has been reporting about
machine learning algorithms outperforming clinicians in medical diagnosis or treatment …
machine learning algorithms outperforming clinicians in medical diagnosis or treatment …
A tutorial on calibration measurements and calibration models for clinical prediction models
Our primary objective is to provide the clinical informatics community with an introductory
tutorial on calibration measurements and calibration models for predictive models using …
tutorial on calibration measurements and calibration models for predictive models using …
The integrated motivational–volitional model of suicidal behaviour
RC O'Connor, OJ Kirtley - Philosophical Transactions of …, 2018 - royalsocietypublishing.org
Suicide is a major public health concern accounting for 800 000 deaths globally each year.
Although there have been many advances in understanding suicide risk in recent decades …
Although there have been many advances in understanding suicide risk in recent decades …
[HTML][HTML] Artificial intelligence and suicide prevention: a systematic review of machine learning investigations
Suicide is a leading cause of death that defies prediction and challenges prevention efforts
worldwide. Artificial intelligence (AI) and machine learning (ML) have emerged as a means …
worldwide. Artificial intelligence (AI) and machine learning (ML) have emerged as a means …