## 3 Results  
As shown in Table 1, only 16.95% of the population of Taiwan was aged 0-14, yet this age group comprised 32.29% of the SJS patients. The percentage of the population aged 15-64 was 72.62%, and this group comprised 35.60% of the SJS patients. The percentage of the population aged above 65 was 10.43%, yet this age group comprised 32.11% of the SJS patients. This shows that children and the elderly are more susceptible to SJS. The above results also showed that patients could develop SJS regardless of gender and age. Therefore, physicians in pediatrics, geriatrics, obstetrics and gynecology, and other specializations should pay attention to medication safety for patients of all ages and genders. As shown in Table 6, the study analyzed the groups whose lengths were under 4, and the GSP algorithm was used to identify the disease patterns according to the classification of diseases in Table 2. Then we used chi-square and [PERSON]'s exact test, with a 95% confidence interval, to infer whether there was a significant difference. The results of the analysis are shown in Table 7.  
For the length 1 group, there were six disease patterns whose support ranged from 10.85% to 39.53%: Respiratory system <(8)>, skin and subcutaneous tissue <(12)>, symptoms, signs, and ill-defined conditions <(16)>, digestive system <(9)>, circulatory system <(7)>, and nervous system and sense organs <(6)>. Obviously, some patients developed SJS after they were exposed to one highly suspected drug for one treatment. Nearly 40% of patients (N = 51), had respiratory system disease <(8)>. In contrast, more than 20% of patients, up to 30 people, had skin and subcutaneous tissue disease <(12)>. Among them, only four patients contracted both of the diseases, so we deducted the four repeated patients. This left 77 patients in total; up to 60% of these patients had one of the two diseases, which shows the high possibility of developing SJS. For respiratory system disease <(8)>, there was a significant difference in age (\(p<0.05\)). Thirty-four patients (66.67%) were under the age of 14. For circulatory system disease <(7)>, no patients were \begin{table}
\begin{tabular}{c c c c c c} \hline \hline \multirow{2}{*}{**Number of** **Outpatient Visits**} & \multirow{2}{*}{**N (\%)**} & \multicolumn{4}{c}{**Stratified by Age, n (\%)**} \\ \cline{3-6}  & & **0-14** & **15-64** & \(\geq\) **65** & **\(p\) Value** \\ \hline Pattern length = 1 & 129 & 56 (43.41) & 46 (35.66) & 27 (20.93) & \\ \hline \(<\)(8)> & 51 (39.53) & 34 (66.67) & 14 (27.45) & 3 (5.88) & * 0.000 \\ \(<\)(12)> & 30 (23.26) & 11 (36.67) & 12 (40.00) & 7 (23.33) & 0.594 \\ \(<\)(16)> & 23 (17.83) & 10 (43.48) & 7 (30.43) & 6 (26.09) & 0.654 \\ \(<\)(9)> & 17 (13.18) & 5 (29.41) & 7 (41.18) & 5 (29.41) & 0.867 \\ \(<\)(7)> & 15 (11.63) & 6 (40.00) & 9 (60.00) & NC \\ \(<\)(6)> & 14 (10.85) & 3 (21.43) & 7 (50.00) & 4 (28.57) & 0.499 \\ \hline Pattern length = 2 & 115 & 39 (33.91) & 43 (37.39) & 33 (28.70) & \\ \hline \(<\)(8)(8)> & 23 (20.00) & 16 (69.57) & 6 (26.09) & 1 (4.35) & * 0.000 \\ \(<\)(8)(12)> & 14 (12.17) & 12 (85.71) & 2 (14.29) & & NC \\ \hline Pattern length = 3 & 107 & 37 (34.58) & 33 (30.84) & 37 (34.58) & \\ \hline \(<\)(8)(8)(8)(8)> & 14 (13.08) & 12 (85.71) & & 2 (14.29) & NC \\ \hline Pattern length = 4 & 71 & 24 (33.80) & 21 (29.58) & 26 (36.62) & \\ \hline \(<\)(8)(8)(8)(8)(8)> & 13 (18.31) & 11 (84.62) & & 2 (15.38) & NC \\ \hline \hline \end{tabular}  
* Chi-square and Fisher’s exact test were used for categorical data with a significance level of \(p<0.05\). 2. *Statistically significant (\(p<0.05\)). 3. NC denotes not calculated; some age groups had 0 cases, or the calculation suggested that our sample size in the group might not be large enough to detect a significant association among groups.  
\end{table} 
Table 7: The mined sequential patterns of diseases contracted before the development of SJS. younger than 14 years old, and nine of them (60%) were older than 65 years.