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SRC-edc500ad00b2 Miyazaki Y 2026

Evidence source and scope

Miyazaki Y, Oba J, Ishikawa T, Kawakami M, Kondo K, Hirabe A, et al. Explainable machine learning prediction of functional independence measure scores and gain in subacute stroke survivors. Journal of neuroengineering and rehabilitation. 2026;23(1). DOI 10.1186/s12984-026-01963-2

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DOI: 10.1186/s12984-026-01963-2

Bibliographic record from the original reports

Access labels embedded in these original reference strings are historical. Current access and exact checked components are stated separately below.

Miyazaki Y, Oba J, Ishikawa T, Kawakami M, Kondo K, Hirabe A, et al. Explainable machine learning prediction of functional independence measure scores and gain in subacute stroke survivors. Journal of neuroengineering and rehabilitation. 2026;23(1). DOI 10.1186/s12984-026-01963-2 Source examined: Full text. Europe PMC main article; no external validation.

Conditions: COND-STROKE Stroke

Scoped audit evidence

These are source- and component-level audit summaries as of 3 October 2026. Access and comparison scope can differ by report; none certifies every result or the underlying raw data.

Stroke

980 of 1552 cases from March 2015–September 2019; 33 predictors; 80/20 development/test split, 1000 development splitting seeds and ensemble K=100. Best test R² .776 motor and .758 total discharge FIM; gains lower. Table 1 age 13–98 confirms non-adult inclusion. Missing data, acute transfers and variable discharge horizon exclusions/limits match report. Grip SHAP importance is within a complete model and not isolated incremental prognosis.

Source locator: Data acquisition; Dataset processing; Table 1; Table 2; Discussion limitations

Limitations: Source code and supplementary heatmaps were not rerun; this verifies published design and model results, not independent reproducibility or calibration.

Reports citing this source

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