Patient values and inductive risk in disorders of consciousness
摘要
Diagnosing patients with disorders of consciousness involves inductive risk: the risk of false negative and false positive results when gathering and interpreting evidence of consciousness. A recent proposal suggests mitigating that risk by incorporating patient values into methodological choices at the level of individual diagnostic techniques: when using machine-learning algorithms to detect neural evidence of responsiveness to commands, clinicians should consider the patient’s own preferences about whether avoiding false positives or false negatives takes priority (Birch,