Predicting Dyslexia using Data Science

Key Takeaways:
  • Learn more about Dyslexia and its impact on people across the world
  • The journey from data discovery to modeling when diagnosing Dyslexia with data science
  • How quality descriptive analytics can accurately predict Dyslexia outcomes
Wednesday, November 30, 11 am ET

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Dyslexia is commonly defined as a learning disorder for anyone with difficulty learning to read or interpret words, letters, and symbols. Dyslexia is hereditary and is considered a "hidden disability" because of its difficulty to diagnose, impacting 10-20% of the world's population, with more than 3 million cases in the United States annually.   “Hi! My name is Seth” is a Qlik Sense app that uses public data from a published research study to showcase how machine learning technology can quickly scale to build insightful, actionable data and machine learning models to significantly reduce the time and cost to identify if a child has Dyslexia. Learn about the inner workings of this application in this interactive webinar. 

Presenter Bio

Marc Wintjen Headshot
Marc WintjenRisk Analytics Architect at Bloomberg

Marc Wintjen is an author, Qlik Luminary, and Risk Analytics Architect at Bloomberg with over 20 years of professional experience. An evangelist for data literacy, he’s best known as the Data Mensch for mentoring and helping anyone up-skill to make analytic-driven decisions. His passion for all things data has evolved from SQL and Data Warehousing to big data analytics, machine learning, and data visualization.