Book Name: Medical Informatics: Knowledge Management and Data Mining in Biomedicine 1st Edition
Author: Hsinchun Chen, Sherrilynne S. Fuller, Carol Friedman, William Hersh
Publisher:Springer; 2005 edition
File size: 43 MB
File format: PDF,EPUB
Download Medical Informatics: Knowledge Management and Data Mining in Biomedicine 1st Edition Pdf Book Description:
Medical Informatics and biomedical computing have increased into quantum step over the last ten years. A wealth of improvements have arrived at the foreground in this field together with the huge amounts of biomedical and genomic information, the world wide web, and the broad use of computer usage in all facets of biological, medical, and healthcare research and practice. MEDICAL INFORMATICS Knowledge Management and Data Mining in Biomedicine covers the fundamental foundations of this field whilst prolonging the foundational material to incorporate the current leading-edge study within the area. The more recent theories, techniques, and techniques of both biomedical knowledge management and data mining are introduced and analyzed in detail. It’s the study and software in these places which are increasing the technical histories and expanding the usefulness of informatics into an increasing amount of biomedical professionals and researchers.The publication is separated into three major topical sections.Section that I presents the foundational information and knowledge management substance also includes subjects like: bioinformatics challenges and criteria, privacy and security, moral and societal problems, and biomedical knowledge mapping.Section II discusses the subjects that are related to understanding representations accessibility and includes subjects such as: Examples of healthcare theories and connections, genomic information retrieval, 3D medical informatics, public access to anatomic images, and producing and maintaining biomedical ontologies.Section III assesses the emerging program study in data mining, biomedical textual mining, and knowledge discovery study and includes subjects such as: Immediate parsing and analysis to individual records, biological associations, gene pathways, and metabolic systems, exploratory genomic data evaluation, combined learning with text and data mining, and disorder informatics and epidemic detection.The publication is an extensive presentation of their foundations and major application study in medical informatics/biomedicine. Additionally, individual specialist contributing writers are commissioned to write chapters to the publication on their various topical expertise.This is a great overview of this study in biomedical informatics as well as the issues contested and solved by this study. If you’re in biomedical informatics, I would advise that you read this publication, and if you teach biomedical informatics this really should be a text.