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Both operant keypress and rating tasks measure variables that quantify the average (mean) magnitude (K), variance (σ), and pattern (ie, Shannon entropy [H]) of reward and aversion judgments [35]. We refer to this methodology and the multiple relationships between these variables and features based on their graphical relationships as relative preference theory (RPT; Figure 1) [18,36].
JMIR Public Health Surveill 2024;10:e47979
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State-of-the-Art Deep Learning Methods on Electrocardiogram Data: Systematic Review
Moreover, random data splitting can introduce bias; thus, k-fold cross-validation or leave-one-out cross-validation strategies are preferred when training DL models. In addition, it is important that different sets (ie, training, validation, and testing) contain different patients, also known as interpatient data splitting, so that the study’s results are more reliable.
JMIR Med Inform 2022;10(8):e38454
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