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Multi-disciplinary fairness considerations in machine learning for clinical trials. (arXiv:2205.08875v1 [cs.LG])
cs.LG updates on arXiv.org arxiv.org
While interest in the application of machine learning to improve healthcare
has grown tremendously in recent years, a number of barriers prevent deployment
in medical practice. A notable concern is the potential to exacerbate
entrenched biases and existing health disparities in society. The area of
fairness in machine learning seeks to address these issues of equity; however,
appropriate approaches are context-dependent, necessitating domain-specific
consideration. We focus on clinical trials, i.e., research studies conducted on
humans to evaluate medical treatments. Clinical …
arxiv clinical trials fairness learning machine machine learning