Research Article
A Way to Understand Inpatients Based on the Electronic Medical Records in the Big Data Environment
Table 1
Sample characteristics.
| | Frequency | Percent |
| Sex | | | Male | 78675 | 52.6 | Female | 70958 | 47.4 |
| Total | 149633 | 100.0 |
| Age | | | <21 | 18329 | 12.2 | 21–40 | 30816 | 20.6 | 41–60 | 63051 | 42.1 | 61–80 | 33665 | 22.5 | >80 | 3772 | 2.5 |
| Total | 149633 | 100.0 |
| Marriage status | | | Single | 28839 | 19.3 | Married | 110049 | 73.5 | Widowed | 1143 | 0.8 | Divorce | 537 | 0.4 | Others | 9065 | 6.1 |
| Total | 149633 | 100.0 |
| Total cost (CHN) | | | ≤5000 | 24250 | 16.2 | 5000–10000 | 29629 | 19.8 | 10000–20000 | 41463 | 27.7 | 20000–50000 | 34648 | 23.2 | >50000 | 19643 | 13.1 |
| Total | 149633 | 100.0 |
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