Reasons and prevention of trivial (and less trivial) misclassification errors?
By looking at the ratings of the book, it looks like they are doing some sort of hierarchical clustering.
First of all it's a book, then a text book, then in medicine &amp; health science.

This is a pretty difficult problem because:


You don't know how many and which topics you have, and the topics are constantly changing.
Since this is a clustering problem (or a semi-supervised problem in the better case), a closed feedback loop for these errors cannot be applied. Clustering is always more difficult than a supervised learning problem.


Apparently they're doing a pretty good job in general. This book in particular is a tough one...