Predict the Genetic Disorder

Introduction

Genetic disorders occur when a problem in the baby’s chromosomes or genes causes physical abnormalities or illnesses.

In our body, we have millions of cells. In each cell, there are 46 chromosomes, found in 23 matching pairs. Half of the chromosomes are passed on from a person’s mother, and half from their father. These chromosomes carry our DNA, or genes, which are the instructions for how we look and how our body develops and functions. These instructions range from our eye color to our risk for disease.

When a harmful change occurs in these instructions, it can change the way a baby develops. Babies with genetic disorders can be at risk of slow mental and physical development, physical abnormalities, and lifelong illnesses.

Some genetic disorders are hereditary, meaning the genetic change is passed on from their parents. Other genetic changes can happen for the first time in the baby. Parents can carry a change in a gene or a chromosome without realizing it, as it may not cause them any health problems.

Risk Factors for Genetic Disorders

Factors that increase your risk of having a baby with a genetic disorder include:

• Family history of a genetic disorder.
• Prior child with a genetic disorder.
• One parent has a chromosomal abnormality.
• Advanced maternal age (35 or older).
• Advanced paternal age (40 or older).
• Multiple miscarriages or prior stillbirth.
• Prenatal exposure to Drugs, Alcohol, or other Environmental Factors.

Lifecycle of the Project

• Exploratory Data Analysis -> https://github.com/Eben2020-hp/Genetic-Disorder-Prediction/blob/main/Genetic%20Disorder-EDA.ipynb
• Feature Engineering, Feature Encoding and Feature Scaling -> https://github.com/Eben2020-hp/Genetic-Disorder-Prediction/blob/main/Genetic%20Disorder-Feature%20Engineering.ipynb
• Model Building (With Multi-Class Classifier)-> https://github.com/Eben2020-hp/Genetic-Disorder-Prediction/blob/main/Genetic%20Disorder-Model%20Building%20(Using%20OneVsRest).ipynb
• Model Building (Without Multi-Class Classifier) -> https://github.com/Eben2020-hp/Genetic-Disorder-Prediction/blob/main/Genetic_Disorder_Model_Building%20(Normal%20Classifiers).ipynb

Initial Dataset -> https://github.com/Eben2020-hp/Genetic-Disorder-Prediction/tree/main/dataset

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Reference:

1. https://women.texaschildrens.org/program/high-risk-pregnancy-care/conditions/genetic-disorders
2. https://www.who.int/elena/titles/folate_periconceptional/en/
3. http://headsup.scholastic.com/students/the-role-of-genes-in-drug-addiction
4. https://carefertility.com.au/resources/blog/what-do-you-and-your-partner-need-to-do-before-ivf-treatment
5. https://towardsdatascience.com/feature-engineering-for-machine-learning-3a5e293a5114
6. https://www.cdc.gov/ncbddd/birthdefects/facts.html
7. https://childrensoncologygroup.org/lowwhitebloodcellcount

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Credits

This was a Hackathon conducted by hackerearth.

Final Standing

With this method I was able to secure 99th rank in the hackathon among approximately 2020 participants.