Unverified50% confidenceFactExact time
If the UCI diabetes readmission dataset is split naively at random, 6,791 patients appear in both the training and test sets, and 41.6% of the visits in the test set come from patients the model has already seen.
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIn the UCI diabetes readmission prediction task, the majority-class baseline accuracy is about 52.9%, but it cannot identify a single readmitted patient.75% similarUnverifiedIn the UCI diabetes readmission dataset, admission type codes 5, 6, and 8 represent not available, NULL, and not mapped respectively, covering 10.2% of visits, and should be converted to missing values.70% similarUnverifiedIn the UCI diabetes readmission dataset, 2,423 visits end in death or hospice care, and all 1,652 death outcomes are labeled 'NO' (not readmitted).68% similarUnverifiedThis study is a preliminary pilot involving only 6 clinicians; the sample size is limited, and the generalizability of the conclusions awaits validation at a larger scale.64% similarUnverifiedAn evaluation study constructed a clinical case library comprising 349 de-identified outpatient records from 62 hospitals and selected 60 representative cases as the evaluation set.60% similar
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