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Regarding the aesthetics, participants perceived that the program was pleasant and appreciated personalized features (eg, their name on the front page). They also liked the colors, text size, layout, and images; although, 2 participants noted that the pictures did not represent the patient population accurately (eg, no photos of cancer patients without hair or racially diverse).
JMIR Form Res 2025;9:e65188
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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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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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It requires individuals to quickly substitute (verbalize) numbers for an array of symbols using a key provided at the top of the page. After a practice run with 7 symbols, individuals are given 90 seconds to correctly name as many items as they can as quickly as they can without making a mistake. The number of correct oral substitutions at the end of 90 seconds is the participant’s score. Individuals who complete the task before the time limit receive a ceiling score of 65.
JMIR Res Protoc 2025;14:e60471
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