A Novel Approach for Finding Frequent Medicine Set Using Maximal Apriori for Medical Application - Proceedings of All India Seminar on Biomedical Engineering 2012 (AISOBE-2012) - page 137

Table 2 Candidate items,

Medicine set Support count

C1

{SARIDON} 6

{DISPRIN} 7

{NIMUSULIDE} 6

{PANADOL} 2

{ADVIL} 2

{CROCINE} 1

{IBOBRUFIN} 1

Table 3 Frequent
1-itemsets, L1

Medicine set Support count

{SARIDON} 6

{DISPRIN} 7

{NIMUSULIDE} 6

{PANADOL} 2

{ADVIL} 2

Table 4 Sorted database

TID List of medicines Item count

T008 SARIDON, DISPRIN,

NIMUSULIDE, ADVIL

4

T001 SARIDON, DISPRIN,

ADVIL,CROCINE

4

T004 SARIDON, DISPRIN,

PANADOL

3

T009 SARIDON, DISPRIN,

NIMUSULIDE

3

T002 DISPRIN, PANADOL 2

T003 DISPRIN, NIMUSULIDE 3

T005 SARIDON, NIMUSULIDE 2

T006 DISPRIN, NIMUSULIDE 2

T007 SARIDON, NIMUSULIDE 2

Take 2-D array; put the transaction into 2-D array with their count of repetition.

2 Medicine set Count 3 Medicine set Count 4 Medicine set Count

{SARIDON,
NIMUSULIDE}

2 {SARIDON, DISPRIN,

ADVIL}

1 {SARIDON, DISPRIN,

NIMUSULIDE, ADVIL}

1

{DISPRIN,
NIMUSULIDE}

2 {SARIDON, DISPRIN,

PANADOL}

1

{DISPRIN,
PANADOL}

1 {SARIDON, DISPRIN,

NIMUSULIDE}

1