Using Machine Learning with Health Data: The Challenges and Pitfalls

Using Machine Learning with Health Data: The Challenges and Pitfalls - insideBIGDATA

In this contributed article, Elad Ferber, CTO and Co-founder of Spry Health, points out that when considering health data, the level of required customization for machine learning algorithms is very high for 3 reasons: the inherent complexity of the human body, the accessibility and relevance of data sources, and integration into the existing healthcare system.