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Related Questions
- What are the typical patient outcomes associated with false-negative and false-positive predictions in medical text classification?
- How do doctors currently handle false negatives, and what are the medical consequences?
- In what ways can increased precision in medical text classification minimize the impact of both false negatives and false positives?
- For clinical decision-making, does it matter more that predictions of a disease are false negatives or false positives?
- What are some established techniques for balancing the need to minimize false negatives (missing a diagnosis) while keeping false positives (causing unnecessary treatment) from consuming too many resources?
- Can the risks of false negatives be evaluated by comparing the expected outcome changes associated with false positives with actual patient outcomes following their discharge?
- Do the consequences of each vary depending on the area of medicine, or their respective patient populations, within which the classification system is implemented?
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