Methods in Biomedical Informatics
A Pragmatic Approach

Foundational background of key methodological principles in biomedical informatics and their specific applications in biology, medicine and public health

Indra Neil Sarkar (Edited by)

9780124016781

Hardback, published 13 November 2013

592 pages, 100 illustrations
23.4 x 19 x 3.3 cm, 1.39 kg

Approx.445 pages

1. Introduction - Indra Neil Sarkar2. Data Integration: An Overview - Prakash Nadkarni and Luis Marenco3. Knowledge Representation - Mark A. Musen4. Hypothesis Generation from Heterogenous Data Sets - Yves A. Lussier and Haiquan Li5. Geometric Representations in Biomedical Informatics: Applications in Automated Text Analysis - Trevor Cohen and Dominic Widdows6. Biomedical Natural Language Processing and Text Mining - Kevin B. Cohen7. Knowledge Discovery in Biomedical Data: Theory and Methods - John H. Holmes8. Bayesian Methods in Biomedical Data Analysis - Hsun-Hsien Chang and Gil Alterovitz9. Learning Classifier Systems: The Rise of Genetics-Based Machine Learning in Biomedical Data Mining - Ryan J. Urbanowicz and Jason H. Moore10. Engineering Principles in Biomedical Informatics - Riccardo Bellazzi, Matteo Gabetta, Giorgio Leonardi11. Biomedical Informatics Methods for Personalized Medicine and Participatory Health - Fernando Martin-Sanchez, Guillermo Lopez-Campos, Kathleen Gray12. Linking Genomic and Clinical Data for Discovery and Personalized Care - Joshua C. Denny and Hua Xu13. Putting Theory into Practice - Indra Neil Sarkar

Subject Areas: Epidemiology & medical statistics [MBNS], Knowledge management [KJMV3]