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. 2020 Apr 22;8(4):e16970. doi: 10.2196/16970

Table 3.

Characteristics of patients and nursing records in the learning data set and test data set for prediction of falls.

Entire data set Total Fallers Nonfallers P valuea
Learning data set




Patients, n (% of total) 371 (100) 167 (45.0) 204 (55.0) b

Gender, n (% of total)




Female 159 (100) 78 (49.1) 81 (50.1)


Male 212 (100) 89 (42.0) 123 (58.0)

Age (years), mean (SD) 67.0 (17.0) 73.4 (12.9) 61.7 (18.1) <.001

Nursing records, n 12,619 9099 3520

Nursing records per patient, mean (SD) 45.4 (41.9) 66.4 (45.3) 28.2 (29.3) <.001

Nursing record lengthc, mean (SD) 4879.1 (2212.3) 5559.4 (1961.9) 4323.8 (2090.9) <.001
Test data set




Patients, n (% of total) 372 (100) 168 (45.2) 204 (54.8)

Gender, n (% of total)




Female 183 (100) 78 (42.6) 105 (57.4)


Male 189 (100) 90 (47.6) 99 (52.4)

Age (years), mean (SD) 67.1 (17.1) 73.2 (13.8) 62.1 (18.1) <.001

Nursing records, n 12,526 9813 2713

Nursing records per patient, mean (SD) 45.2 (45.1) 69.8 (52.6) 25.0 (23.0) <.001

Nursing record length,c mean (SD) 4739.6 (2127.5) 5522.9 (2005.8) 4094.5 (2009.1) <.001

aWelch t test between fallers and nonfallers used.

bNot applicable.

cNumber of Japanese or Chinese characters.