Leveraging machine learning to enhance appointment adherence at a novel post-discharge care transition clinic.

The number of days between appointment scheduling and occurrence (lag days) remained highly significant ( P < .001) after controlling for all other factors in the model, underscoring its impact on appointment adherence.

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