Pregnancy risk prediction

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  Mother health risk prediction

Inspiration

The maternal mortality ratio in the world is very high. When this comes to the case of developing countries, it increases. This was an issue that risked both the life of the mother and the child. I wanted to create a simple neural network which would identify this risk factor.

What I did

Using neural networks, I created a program which identifies the risk probability of a pregnant woman by using the vitals. The dataset from kaggle gives important features like age, systolic and diastolic pressure, blood glucose level and heartbeat. The neural network (keras) computes the risk factor and warns the health issues.

Challenges

It was difficult to obtain a higher accuracy. But as neural networks are one of the most efficient ways for learning, I used this for highest accuracy to be obtained. Using this program, the health issues can be predicted and thus decrease the mortality ratio.

Future of this project

I intend to further increase the efficiency of this model by trying out other Machine learning models.

Built With

• keras
• machine-learning
• pandas
• python