Ebook Machine learning in medicine - A complete overview: Part 1

Part 1 of ebook "Machine learning in medicine - A complete overview" provides readers with contents including: Chapter 1 - Hierarchical clustering and K-means clustering to identify subgroups in surveys; Chapter 2 - Density-based clustering to identify outlier groups in otherwise homogeneous data; Chapter 3 - Two step clustering to identify subgroups and predict subgroup memberships in individual future patients; Chapter 4 - Nearest neighbors for classifying new medicines; Chapter 5 - Predicting high-risk-bin memberships; Chapter 6 - Predicting outlier memberships;...