„Digital solution for migraine prevention“

proposed by

It is estimated that about 10% of the population suffers from severe headaches or migraines. This can be a crippling experience, disabling the person from working, travelling or any other activities. There are some common known triggers of migraines, such as bright lights, nutrition or stress, but these are different for each individual.

Knowing what triggers a migraine attack is the first step in reducing the frequency at which they occur. We would like to offer migraine sufferers an application which helps them to track, predict and treat their migraine based on their unique situation. By offering a trained predictive model, the user can start tracking the onset, symptoms and nutritional information of his migraine attacks, gradually creating a model which is more targeted towards their situation.

1. Build a predictive model analysing a person’s chance of developing a migraine attack
2. Build a learning model based on the user’s input
3. Develop a user interface allowing the user to log symptoms and lifestyle habits

1. Which factors can cause migraines?
2. What would we need to know about an individual to forecast migraines?
3. What kind of advice would a migraine sufferer benefit from?

1. Bluemix Catalog
2. Weather data through The Weather Company
3. Sample patient data on migraine