This volume complies a set of Data Mining techniques and new applications in real biomedical scenarios. Chapters focus on innovative data mining techniques, biomedical datasets and streams analysis, and real applications. Written in the highly successful Methods in Molecular Biology series format, chapters are thought to show to Medical Doctors and Engineers the new trends and techniques that are being applied to Clinical Medicine with the arrival of new Information and Communication technologies
Authoritative and practical, Data Mining in Clinical Medicine seeks to aid scientists with new approaches and trends in the field.

![[PDF] Data Mining in Clinical Medicine Carlos Fern?ndez-Llatas, Juan Miguel Garc?a-G?mez (eds.)](https://digzon.com/wp-content/uploads/2024/04/d988150cbb7874a6d94be7e82908c9cf-d.jpg)
![[PDF] Truth, Trust and Medicine Jennife Jackson](https://digzon.com/wp-content/uploads/2024/04/1440221602709585719ec172d54c35c1-d.jpg)
![[PDF] Optimization in Medicine Ryan Acosta, Matthias Ehrgott, Allen Holder, Daniel Nevin (auth.), Carlos J. S. Alves, Panos M. Pardalos, Luis Nunes Vicente (eds.)](https://digzon.com/wp-content/uploads/2024/04/15914d2c39dc92f4d7309e8e1b2dc97f-d.jpg)
![[PDF] Streptomyces in Nature and Medicine: The Antibiotic Makers David A. Hopwood](https://digzon.com/wp-content/uploads/2024/04/158d956c150db601e5bab21ea46eada6-d.jpg)
![[PDF] Human embryonic stem cells and genomic instability Nathalie Lefort et al](https://digzon.com/wp-content/uploads/2024/04/16e0aacd021bd08a81f79af6ed1f8300-g.jpg)
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