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. 2017 Dec 19;19(12):e420. doi: 10.2196/jmir.9046

Table 4.

Accuracy and selected features for individual models.

Patient Number of days Overall accuracy (%) Accuracy with selected features (%) Selected features included in the classification
P1 7 85.7

100 Duration of outgoing calls, number of unique phone correspondents, and number of outgoing calls
P2 27 92 96 Changes in activity, app use time, maximum magnitude of accelerometer, and SDa of accelerometer
P3 22 92.8 92.8 Maximum magnitude of accelerometer, minimum magnitude of accelerometer, minutes sedentary, and minutes lightly active
P4 15 93.3 86.6 Most common activity, number of app changes, maximum magnitude of accelerometer, and number of awakenings
P5 28 96.1 88.5 App use time, number of app changes, and duration of outgoing calls
P6 14 92.3 100 App use time, most frequent contact phone, number of incoming calls, steps, distance, floors, minutes lightly active, and minutes asleep
P7 16 78.6 85.7 Minutes awake, maximum number of steps, number of sedentary bouts, and average number of steps
P8 16 87.5 87.5 Number of apps per minute, maximum magnitude of acceleration, number of awakenings, and average length of sedentary bouts
P9 26 85 95 Number of activities, app use time, and duration of outgoing calls
P10 35 88.9 88.9 App use time, maximum magnitude of acceleration, mean magnitude of acceleration, number of steps, and minutes lightly active
P11 16 100 100 App use time, number of app changes, and maximum magnitude of acceleration
P12 23 78.1 84.4 Location entropy, number of unique locations, time in most frequent place, travel distance, and number of steps
P13 29 84.4 91.9 Number of activity changes, maximum magnitude of accelerometer, time in most frequent place, duration of interaction with phone, and Fitbit steps
P14 21 82.6 78.3 Time in most frequent locations and average length of sedentary bouts
Average 21 88.4 91.1 -

aSD: standard deviation.