Inspiration
As someone who suffers from severe migraines, it was interesting to see how technology can help us identify patterns between who in specific what age groups suffer from migraines at higher intensities or lower intensities.
What it does
Our project is more on the lines of a research project that includes collecting data, a specific domain of data analysis and an optimisation related sector rather than a software engineering project. We’re trying to figure out if there is a correlation between the age of people who experience migraines and the intensity of their migraine.
How we built it
We got a dataset from kaggle and used numpy, pandas and matplotlib to help us analyse the data to see if there was any correlation between age and intensity of migraines faced by patients. We used pandas to read the data using the read_csv method. We created a list of the ages and intensities. We got the mean and standard deviations of the intensity using the np.mean and np.std. We sectored the ages based on the intensities (0, 1, 2, 3) to know the average age of each of those intensities.
Challenges we ran into
It was quite hard to find a data set that had both the intensities and ages of patients experiencing migraines We had to learn how to apply our data into our model and graph it using matlab matplot libraries
Accomplishments that we're proud of
We are extremely proud of the fact that we were able to derive a relationship between the ages and intensities. We know a lot of people in our friend group who are experiencing severe migraines. The fact that we were able to come to a conclusive relationship is definitely one step further from ground level.
What we learned
We got the mean and standard deviations of the intensity using the np.mean and np.std. We sectored the ages based on the intensities (0, 1, 2, 3) to know the average age of each of those intensities.
What's next for Migraine - Intensities X Ages (SWE Decal Final Project)
This has a further scope of figuring out a cure as it is easier to prescribe medicine without worrying about certain side effects by clustering them into various age groups.
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