Data Mining in Clinical Medicine

ISBN-13: 9781493919840 / Angielski / Twarda / 2014 / 270 str.

Carlos Fernandez Llatas; Juan Miguel Garcia-Gomez

Opis

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 technologiesAuthoritative and practical, Data Mining in Clinical Medicine seeks to aid scientists with new approaches and trends in the field.

Spis treści

PART I: Innovative Data Mining Techniques for Clinical Medicine

1. Actigraphy Pattern Analysis For Outpatient Monitoring

Elies Fuster-Garcia, Adrián Bresó, Juan Martínez Miranda, and Juan M. Garcia-Gómez

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

Juan M. Garcia-Gómez 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-Gómez

 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 Borrás 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 Ibañez, 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 Pedrón-Torecilla, Ismael Hernández, Alejandro Liberos, Andreu M Climent, and María S. Guillem

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

Adrián Bresó, Carlos Sáez, Javier Vicente, Félix Larrinaga, Montserrat Robles, Juan Miguel, and García-Gómez

 16. Serious Games For Elderly Continuous Monitoring

Lenin-G. Lemus-Zúñiga, Esperanza Navarro-Pardo, Carmen Moret-Tatay, and Ricardo Pocinho.