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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.

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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.

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PART I: Innovative Data Mining Techniques for Clinical Medicine

1. Actigraphy Pattern Analysis For Outpatient Monitoring

Elies Fuster-Garcia, Adrian Breso, Juan Martinez Miranda, and Juan M. Garcia-Gomez

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

Juan M. Garcia-Gomez 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-Gomez

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 Processing System

Johan Gustav Bellika, Torje Starbo Henriksen, Kassaye Yitbarek Yigzaw
8. Data Mining for Pulsing the Emotion on the WebJose Enrique Borras Morell 9. Introduction on Health Recommender Systems
Sanchez-Bocanegra, C.L., Sanchez-Laguna, F., Sevillano, J.L. 

10. Cloud Computing for Context-Aware Enhanced m-Health Services

Carlos Fernandez-Llatas, Salvatore F. Pileggi, Gema Ibanez, Zoe Valero, and Pilar Sala
PART III: New Applications of Data Mining in Clinical Medicine Problems 11. Analysis of Speech-based Measures for Detecting and Monitoring Alzheimer's Disease
A. Khodabakhsh and C. Demiroglu

12. Applying Data Mining for the Analysis of Breast Cancer Data

Der-Ming Liou and Wei-Pin Chang
13. Mining Data When Technology Is Applied To Support Patients and Professional On The Control Of Chronic Diseases: The Experience Of The METABO Platform For Diabetes Management
Giuseppe Fico, Maria Teresa Arredondo, Vasilios Protopappas , Eleni Georgia

14. Data Analysis In Cardiac Arrhythmias

Miguel Rodrigo, Jorge Pedron-Torecilla, Ismael Hernandez, Alejandro Liberos, Andreu M Climent, and Maria S. Guillem

15. Knowledge-Based Personal Health System to Empower Outpatients of Diabetes Mellitus by means of P4 Medicine

Adrian Breso, Carlos Saez, Javier Vicente, Felix Larrinaga, Montserrat Robles, Juan Miguel, and Garcia-Gomez
16. Serious Games For Elderly Continuous Monitoring
Lenin-G. Lemus-Zuniga, Esperanza Navarro-Pardo, Carmen Moret-Tatay, and Ricardo Pocinho.

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