Article info
PDFCommentary
‘Can I trust my patient?’ Machine Learning support for predicting patient behaviour
- Correspondence to Dr Florian Funer, Institute for Ethics and History of Medicine, Eberhard Karls Universitat Tubingen, Tübingen, Baden-Württemberg, Germany; florian.funer{at}uni-tuebingen.de
Citation
‘Can I trust my patient?’ Machine Learning support for predicting patient behaviour
Publication history
- Received March 10, 2023
- Accepted May 4, 2023
- First published May 15, 2023.
Online issue publication
November 09, 2023
Article Versions
- Previous version (24 July 2023).
- You are viewing the most recent version of this article.
Request permissions
If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.
Copyright information
© Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.
Other content recommended for you
- Epistemic injustice in healthcare encounters: evidence from chronic fatigue syndrome
- Evidence, ethics and the promise of artificial intelligence in psychiatry
- Epistemic injustice, children and mental illness
- Testimonial injustice in medical machine learning
- Further remarks on testimonial injustice in medical machine learning: a response to commentaries
- PDMP causes more than just testimonial injustice
- Harnessing the power of clinical decision support systems: challenges and opportunities
- Outcomes of incoming and outgoing second opinions from a UK liver transplant centre
- Artificial intelligence, bias and clinical safety
- Clinical decision support systems to improve drug prescription and therapy optimisation in clinical practice: a scoping review