## 3 Materials and Methods
Therefore, eight JSON files with corresponding relation records are obtained. Tables 2-9 represent the sample item sets obtained for different TB drugs datasets with corresponding support, confidence and lift values. \begin{table}
\begin{tabular}{c c c c} \hline
**Item Sets** & **Support** & **Confidence** & **Lift** \\ \hline [“abdominal”, “pain”] & 0.016603 & 0.619047 & 15.892271 \\ [“activity”, “antimoobacterial”] & 0.014049 & 0.611112 & 5.800001 \\ [“antiretroviral”, “hiv”] & 0.012771 & 0.625 & 12.083334 \\ [\"cerebrospinal\", “fluid”] & 0.011494 & 0.899999 & 29.987234 \\ [\"cough\", “fever”] & 0.015964 & 0.625 & 15.535714 \\ [\"fluoroquinone\", “mdr-tb”] & 0.012132 & 0.542857 & 7.143817 \\ [\"genes\", “mutations”] & 0.019157 & 0.535714 & 6.554129 \\ [\"hepatic\", “liver”] & 0.009578 & 0.576923 & 12.906593 \\ \hline \end{tabular}
\end{table} 
Table 4: Sample item sets of pyrazinamide dataset. \begin{table}
\begin{tabular}{c c c c} \hline
**Item Sets** & **Support** & **Confidence** & **Lift** \\ \hline [“activity”, “bactericidal”] & 0.026708 & 0.626506 & 5.892789 \\ [\"crossover”, “subjects”] & 0.010272 & 0.526316 & 11.778584 \\ [\"aeruginosa\", “p”] & 0.014895 & 0.547170 & 6.018868 \\ [\"genitalium\", “mycoplasma”] & 0.010786 & 0.875 & 32.143868 \\ [\"Gram-negative\", “Gram-positive”] & 0.017976 & 0.538462 & 14.167360 \\ [\"intracocular\", “surgery”] & 0.011299 & 0.564103 & 15.690110 \\ [\"isoniazid\", “pyrazinamide”] & 0.018490 & 0.590164 & 14.363115 \\ [\"methicillin-resistant\", “mrsa”] & 0.010786 & 0.777778 & 33.651852 \\ \hline \end{tabular}
\end{table} 
Table 2: Sample item sets of moxifloxacin dataset. \begin{table}
\begin{tabular}{c c c c} \hline
**Item Sets** & **Support** & **Confidence** & **Lift** \\ \hline [“acitobacter”, “baummini”] & 0.0230487 & 0.619718 & 11.485847 \\ [“aeruginosa”, “pseudomonas”] & 0.023573 & 0.75 & 10.527574 \\ [“avium”, “clarithmomycin”] & 0.007333 & 0.518518 & 13.747942 \\ [“breakpoints”, “isolates”] & 0.009953 & 0.575758 & 2.818259 \\ [\"cancer\", “patients”] & 0.008905 & 0.586207 & 3.806357 \\ [\"cerebrospinal\", “fluid”] & 0.009429 & 0.9 & 44.053846 \\ [“adverse”, “events”] & 0.008381 & 0.72773 & 30.181818 \\ [\"coli\", “mirabilis”] & 0.007333 & 0.518518 & 5.209746 \\ \hline \end{tabular}
\end{table} 
Table 3: Sample item sets of amikacin dataset. \begin{table}
\begin{tabular}{c c c c} \hline
**Item Sets** & **Support** & **Confidence** & **Lift** \\ \hline
[”abscessus”, “mycobacterium”] & 0.011985 & 0.696969 & 17.369933 \\
[”anti-tb”, “drugs”] & 0.011464 & 0.758621 & 10.109674 \\
[”aureus”, “methicillin-sensitive”] & 0.008337 & 0.761904 & 6.356935 \\
[”bedaquiline”, “drug-resistant”] & 0.013548 & 0.553191 & 11.538852 \\
[”ca-mrsa”, “ha-mrsa”] & 0.007816 & 0.882352 & 48.378151 \\
[”chromosome”, “isolates”] & 0.011985 & 0.766666 & 4.008811 \\
[”drugs”, “second-line”] & 0.013548 & 0.684211 & 9.118055 \\
[”faecium”, “isolates”] & 0.019801 & 0.5 & 2.614441 \\ \hline \end{tabular}
\end{table} 
Table 6: Sample item sets of linezolid dataset. \begin{table}
\begin{tabular}{c c c c} \hline
**Item Sets** & **Support** & **Confidence** & **Lift** \\ \hline
[”acetate”, “extract”] & 0.008701 & 0.548387 & 17.566367 \\
[”chromosome”, “genome”] & 0.007676 & 0.576923 & 7.320179 \\
[”ethyl”, “extract”] & 0.008188 & 0.533333 & 17.084153 \\
[”ribosomally”, “synthesized”] & 0.007676 & 0.882352 & 42.051649 \\
[”crystal”, “structure”] & 0.013306 & 0.722223 & 11.959511 \\
[”coli”, “e”] & 0.012794 & 0.641025 & 20.202646 \\
[”biosynthesis”, “inactivation”] & 0.006653 & 0.565217 & 5.549923 \\
[”aureus”, “methicillin-resistant”] & 0.009211 & 0.692307 & 32.994371 \\ \hline \end{tabular}
\end{table} 
Table 7: Sample item sets of streptomycin dataset.