**3.7 Evaluation of WellGrowth app**

**Figure 6** presents individual, WHO and local (NMC) growth graphs showing the growth pattern (weight) of children whose ages are 0 to 12 months. **Figure 7** present a print view of Individual, WHO and local (NMC) WellGrowth's graphs. The average growth data whose values are less than 2 units from WHO's data value are indicated by yellow line while the average growth data whose values are greater or equal to 2 are filled with red line. **Figure 7a** shows the weight and **Figure 7b** shows the length of children whose ages are 0 to 12 months. It is evident from **Figure 7a** that there is no instance of inconsistency given the tolerance level of less than 2 units from WHO's a data value. The individual

#### **Figure 6.**

*WellGrowth app visualisation of growth patterns of individual vs. WHO vs. local (NMC) age graph after 12 months (weight in first graph vs. length in second graph).*

**37**

(see **Figure 7b**).

**Figure 7.**

established patterns.

*Visual Identification of Inconsistency in Pattern DOI: http://dx.doi.org/10.5772/intechopen.95506*

graph in **Figure 7b** is consistent with the WHO's growth pattern but there are issues of inconsistency in the 1st and 2nd month as indicated by the yellow line. Inconsistencies is depicted in **Figure 7b** individual line graph where the average growth data values are greater or equal to 2 and are indicated with red coloured line. The individual graph is consistent with the growth pattern of the WHO in the 5th to 7th month and 9th to 10th month but there are issues of inconsistencies in the 7th and 9th month and 10th to 12th month as indicated by the red line

*A print view of WellGrowth App's individual, WHO and local (NMC) growth graphs showing the weight* 

*(Figure 7a) and length (Figure 7b) growth patterns of children whose ages are 0 to 12 months.*

Visual identification of inconsistencies in established patterns is achievable through data mining and analysis tools such as ConTra, Datax and WellGrowth apps. Each of these tools has its area of applicability depending on the kind of inconsistency explored. Datax for example, is most appropriately used for visualising patterns of missingness in CSV datasets unlike ConTra or WellGrowth that are used for mining and visualising contradictory data in patterns. **Table 3** presents a summary of the appropriateness of each of the tools in visualising inconsistencies in

**4. Comparison of ConTra, Datax and WellGrowth apps**

*Visual Identification of Inconsistency in Pattern DOI: http://dx.doi.org/10.5772/intechopen.95506*

**Figure 7.**

*Applications of Pattern Recognition*

are expected in another publication by the authors.

**3.7 Evaluation of WellGrowth app**

WHO's growth curve.

user. A visual comparison of growth patterns from WHO to the growth patterns from NMC is used to enable the analysis of inconsistencies in children's growth data from Nsukka Medical Centre. Also, input of a child's growth data is used by WellGrowth app to enable a visual comparison of growth patterns of a Child with

The authors designed WellGrowth for plotting growth pattern graphs from WHO, NMC and user's input data. WellGrowth App adopts colour coding and fault tolerance to enable easier visualisation of inconsistencies in their investigated datasets. For example, the average growth data whose value is less than 2 units from WHO's data value are yellow; the average growth data whose values are greater or equal to 2 and less than 4 are filled with red; while those values are greater or equal to 4 are filled with a yellow colour. Further details of WellGrowth implementations

**Figure 6** presents individual, WHO and local (NMC) growth graphs showing the growth pattern (weight) of children whose ages are 0 to 12 months. **Figure 7** present a print view of Individual, WHO and local (NMC) WellGrowth's graphs. The average growth data whose values are less than 2 units from WHO's data value are indicated by yellow line while the average growth data whose values are greater or equal to 2 are filled with red line. **Figure 7a** shows the weight and **Figure 7b** shows the length of children whose ages are 0 to 12 months. It is evident from **Figure 7a** that there is no instance of inconsistency given the tolerance level of less than 2 units from WHO's a data value. The individual

*WellGrowth app visualisation of growth patterns of individual vs. WHO vs. local (NMC) age graph after* 

*12 months (weight in first graph vs. length in second graph).*

**36**

**Figure 6.**

*A print view of WellGrowth App's individual, WHO and local (NMC) growth graphs showing the weight (Figure 7a) and length (Figure 7b) growth patterns of children whose ages are 0 to 12 months.*

graph in **Figure 7b** is consistent with the WHO's growth pattern but there are issues of inconsistency in the 1st and 2nd month as indicated by the yellow line. Inconsistencies is depicted in **Figure 7b** individual line graph where the average growth data values are greater or equal to 2 and are indicated with red coloured line. The individual graph is consistent with the growth pattern of the WHO in the 5th to 7th month and 9th to 10th month but there are issues of inconsistencies in the 7th and 9th month and 10th to 12th month as indicated by the red line (see **Figure 7b**).
