Data Mining in Clinical Medicine [Paperback]

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.

PART I: Innovative Data Mining Techniques for Clinical Medicine

1. Actigraphy Pattern Analysis For Outpatient Monitoring

Elies Fuster-Garcia, Adri?n Bres?, Juan Mart?nez Miranda, and Juan M. Garcia-G?mez

?2.? Definition of Loss Functions for Learning from Imbalanced Data to Minimize Evaluation Metrics

Juan M. Garcia-G?mez and Salvador Tortajada

?3. Audit Method Suited for DSS in Clinical Environment

Javier Vicente

?4.? Incremental Logistic Regression for Customizing Automatic Diagnostic Models

Salvador Tortajada, Montserrat Robles, and Juan M. Garcia-G?mez

?5.? Using Process Mining for Automatic Support of clinical Pathways Design

Carlos Fernandez-Llatas, Bernardo Valdivieso, Vicente Traver, and Jose Miguel Benedi

?6. Analyzing Complex Patients' Temporal Histories: New Frontiers in Temporal Data Mining

Lucia Sacchi, Arianna Dagliati, and Riccardo Bellazzi

?PART II: Mining Medical Data Over Internet

?7. The Snow System  A Decentralized Medical Data ProlÃñ