Dec. 1st-3rd, 2017 in Brussels, Belgium

Challenge F

„Digital solution for migraine prevention“

proposed by

Background

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.

Actual Challenge

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

Icebreaker Questions

  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?

What we offer

  1. Bluemix Catalog
  2. Weather data through The Weather Company
  3. Sample patient data on migraine
2017-11-01T06:39:34+00:00

Um unsere Webseite für Sie optimal zu gestalten und fortlaufend verbessern zu können, verwenden wir Cookies. Durch die weitere Nutzung der Webseite stimmen Sie der Verwendung von Cookies zu. Weitere Informationen zu Cookies erhalten Sie in unserer Datenschutzerklärung

The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.

Close