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For example, if a user completed a total of 75 sessions and the first 15 were used to train the algorithm, then sessions 16-75 were used for testing. If a user completed a total of only 35 sessions and the first 10 were used to train the algorithm, then sessions 11-35 were used for testing. Increasing the training set size thus had an inverse impact on the testing set size. The sequentially decreasing size of the testing set gave rise to statistical limitations at the tail end of this process.
J Med Internet Res 2025;27:e56086
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Restraining ENDS use to a specific period of time may not represent what a typical use session would look like for a specific user in terms of puffing characteristics, such as puff duration, the length of and time between discrete sessions of ENDS use, or the number of these discrete sessions during a prolonged period of use.
To improve on these previous studies, other studies have focused on methods that allow for more spontaneous ENDS use in a natural environment.
JMIR Form Res 2023;7:e49876
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