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(C) and (D) Performance of training on BIDMC data and testing on MGH data. AUPRC: area under the precision-recall curve; AUROC: area under the receiver operating characteristic curve; BIDMC: Beth Israel Deaconess Medical Center; MGH: Mass General Hospital; PR: precision-recall; ROC: receiver operating characteristic.
Logistic regression coefficients from using the model trained with notes, ICDa codes, and medications. Unexpected results are discussed in the Error Analysis section.
JMIR Med Inform 2025;13:e64113
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From the extended-cosine models, we extracted measures of 24-hour robustness (pseudo-F statistic, indicating how well the observed data fits the 24-hour curve); activity onset time (up-mesor, the time which the modeled activity level passes the middle modeled rhythm height prior to the peak); and activity offset time (down-mesor or the time which the modeled activity level passes the middle modeled rhythm height prior to the nadir).
JMIR Aging 2025;8:e67294
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Reference 42: How to obtain NNT from Cohen's d: comparison of two methods
J Med Internet Res 2025;27:e68454
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Facility F had the sixth-highest number of falls. However, the rate was above the 99% upper control limit (funnel plot), indicating a higher fall rate (per 1000 resident days) compared to other facilities with a similar number of admissions. Therefore, organizational managers can prioritize Facility F in intervening. They also can select Facility F and drill through to the facility falls view for a more detailed investigation.
JMIR Aging 2025;8:e63609
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