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Can "dirty" data help predict life-threatening events? #ai #datascience #healthai #datascientist
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503 Aufrufe0Likes43GradientFlowOriginalveröffentlichung: 2026-05-22

Despite empirical evidence that machine learning models can work with 'dirty' data, hospital administrators and clinicians often resist using hospital records for high-stakes medical predictions like stroke and heart attack because they understand the inherent data quality issues including incorrect coding, missing information, and the 'garbage in, garbage out' principle, which makes them skeptical about the reliability of such predictions.

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