Why isn’t machine learning more widely used for medical diagnoses?

Question

Why isn’t machine learning more widely used for medical diagnoses?

Answer 1

This is because human biology is messy. The learning problem is much tougher than most people realize. Machine Learning algorithms work well in a context where the size of datasets is fairly large. This is a difficulty in the clinical area due to privacy issues such as HIPAA etc.

Clinical decision building is highly suited for rule-based systems because of the nature of the data, such as ICD-9 codes, medications, etc., which are discrete fields [often boolean] in the Electronic Medical record. Also, rule-based methods have performed extremely well in the past.

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