Data mining in clinical medicine
Author(s)
Bibliographic Information
Data mining in clinical medicine
（Methods in molecular biology / John M. Walker, series editor, 1246）（Springer protocols）
Humana Press, 2015
- : [pbk.]
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"Softcover reprint of the hardcover 1st edition 2015"--T.p. verso
"Humana Press is a brand of Springer"--T.p. verso
Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of Contents
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 SystemsSanchez-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 DiseaseA. 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 ManagementGiuseppe 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 MonitoringLenin-G. Lemus-Zuniga, Esperanza Navarro-Pardo, Carmen Moret-Tatay, and Ricardo Pocinho.
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