Predicting Intracerebral Hemorrhage Patients’ Length-of-Stay Probability Distribution Based on Demographic, Clinical, Admission Diagnosis, and Surgery Information

Table 1

Patient data.

Time
Length of stay: mean, median	Mean: 12.61 days, median: 10 days
Demographics
Gender	Male (53.5%), female (46.5%)
Age: mean, median	Mean: 53.79 years, median: 54 years (20 years)
Marital status	Single (6.8%), married (85.5%), divorced (2%), deceased (5%), other (0.8%)
Occupation	Unemployed (3.6%), employed (civil servant, student, farmer, worker, and so on) (96.4%)
Ethnicity	Han (94.3%), Tibetan (4%), other (1.7%)
Clinical predictors
Payment type^1	General medical insurance (26.8%), non-medical insurance (61.9%), special medical insurance (11.3%)
Doctor^2	132 doctors
Admission type	Emergency (89.6%), outpatient (7.5%), other (0.8%)
Transfer^3	Yes (24.7%), no (71%), unrecorded (4.3%)
Admission diagnosis
ICD-10 diagnosis	The total number of hemorrhage locations and preexisting disease is 550
Diagnoses number^4: mean, median	3, 2
Surgery information
Surgery contents	The total number of surgery contents is 7,933
Surgery number^5: mean, median	3.6, 3

ICD 10 = 10th revision of the International Statistical Classification of Diseases and Related Health Problems. ¹General medical insurance is a common type of medical insurance; special medical insurance means that there are some green channels to pay faster and receive services more quickly. ²Number of attending doctors in this department. ³Whether or not the patient was transferred from another medical institution. ⁴Number of main diagnoses and other diagnoses for each patient. ⁵Number of surgeries undergone by each patient. Note that the surgery information is not on the surgeries patients had undergone during hospitalization but on the surgery details of the first operation after admission.