Model Description: 

The Bayesian network models the level of Severely Malnourished Children. This model considers the type of delivery, the care/attention provided to the child and the mother, and what form of nourishment is provided, and considering all this tries to analyze the number of Severely Malnourished Children. 

The malnourishment data is reported based on children that are registered in Anganawadis. 

No. of newborns children 
Total Anganawadi Centres_ 
Low 
Medium 
333 
High 
33 
NO. Of Anganawadi Workers_1523 
1512 
No. of Anganawadi Helpers_1524 
1353 
NO. Of institutional deliveries 
NO. Of Beneficiaries availed Janani 
Low 
Medium 
High 
33 
Low 
Medium 
High 
NO. Of deliveries at home 
33 
Low 
Medium 
High 
32 2 
333 
Low 
Medium 
High 
33 3 
Low 
Medium 
High 
32 
333 
Low 
Medium 
High 
33 - 
Total No. of Children in Anganwadi_1525 
Total number Of newborns breastfed 
Total number Of live babies weighed at 
Low 
Medium 
High 
Low 
Medium 
High 
333 
Low 
Medium 
High 
33 
33 - 
33 
33 - 
333 
Number of Breastfeeding children receivinm 
Low birth weight babies reported (less 
Low 
Medium 
High 
333 
33.3 
Low 
Medium 
High 
333 
33.3 
Severely Malnourished_1528 
Low 
Medium 
High 
233 
33 3 
233

Nodes/Attributes

The above model is based on the following nodes. The color scheme used represents the type of node/attribute. (Purple – Independent node; Orange – Dependent node; Red – Target node)

Node/AttributeDescriptionData Source
No. of new-born children_1353Total number of children born recentlyKAG 2020-21
Total Anganawadi Centres_1512Number of Anganwadi CentersKAG 2020-21
No. of Anganawadi Workers_1523Number of Anganwadi WorkersKAG 2020-21
No. of Anganawadi Helpers_1524 Number of Anganwadi HelpersKAG 2020-21
No. of Beneficiaries availed Janani Suraksha Yojana (JSY)_1338 No. of pregnant women availing the schemeKAG 2020-21
No. of institutional deliveries_1350No. of pregnant women delivering in a hospitalKAG 2020-21
No. of deliveries at home_1351 No. of pregnant women delivering at homeKAG 2020-21
Total No. of Children in Anganwadi_1525No. of children enrolled in Anganwadi sKAG 2020-21
Total number of new-born children breastfed within one hour_1356Total number of new-born children breastfed within one hourKAG 2020-21
Total number of live babies weighed at birth_1357Total number of live babies weighed at birthKAG 2020-21
Number of breastfeeding children receiving adequate diet_1365Number of breastfeeding children who received adequate diet for nutritionKAG 2020-21
Low birth weight babies reported (less than 2500g)_1358 New born babies with weight less than 2500 gmKAG 2020-21
Severely Malnourished_1528 (Target Variable)Number of babies who are severely malnourishedKAG 2020-21
Node Description Table
Intervention Modeling

It sets the network variables to specific levels, to track the changes in the target variable in the network. For instance: If we fix the value of the variable ‘Number of Beneficiaries availed Janani Suraksha Yojana_1338’ to ‘high’, then we would study the impact of this intervention on the target variable i.e., “Severely Malnourished_1528″ of the network across varieties of Taluks in Karnataka.

Intervention CodeIntervening NodeDescriptionEase of Intervention
[1-most difficult, 5-easy]
Total Models ImpactedModels ImpactedDomains ImpactedData Stories impacted upon intervention
I1Number of Beneficiaries availed Janani Suraksha Yojana
_1338
Increasing the number of beneficiaries that avail the JSY scheme in order to assess the nutritional health of a newborn child. Beneficiaries can be increased by spending more resources on deploying more ASHA workers and spreading awareness amongst the general public.341. Maternal Deaths
2. Child Malnutrition
3. Child Stunting
4. Child Wasting
Health
I2Total Anganawadi Centres_1512Increasing the number of Anganawadi centers with the aim of registering more newborn children and their mothers under the Anganawadi system and seeing what impact it has on the nutritional health of the child.421. Child Stunting
2. Child Wasting
Health
I3No. of Anganawadi Workers_1523Increasing the number of Anganawadi Workers with the aim of providing better care to more newborn children and their mothers that have registered in an Anganawadi and seeing how much of a positive impact it has on the nutritional health of the child.421. Child Stunting
2. Child Wasting
Health1. Children – Anaemia, Stunting, Under-weight & Wasting
I4Total Anthyodaya Ration Card Holders_32By increasing the ratio of the number of Anthyodaya ration card holders to People BPL we can determine whether the benefits provided by the Anthyodaya scheme are actually beneficial in improving children’s nutritional health. Can also be used to adjust the benefits provided by the scheme so that nutritional needs are better met.32
1. Child Stunting
2. Child Wasting
Health1. Children – Anaemia, Stunting, Under-weight & Wasting
I5No. of institutional deliveries_1350By promoting institutional deliveries through schemes and ads not limited to but including JSY we can aim at educating women on child nourishment and the care to be taken to ensure nourishment through counseling by doctors and professionals at the hospitals.441. Maternal Deaths
2. Child Malnutrition
3. Child Stunting
4. Child Wasting
Health

DISCLAIMER: AI predictive models are meant to support and augment expert decision-making, and not a replacement for the same. It is important for AI model predictions to be vetted by domain experts before committing to action