| 查看: 362 | 回复: 0 | |||
| 当前主题已经存档。 | |||
[资源]
Medical Informatics: Knowledge Management and Data Mining in Biomedicine
|
|||
|
Medical Informatics: Knowledge Management and Data Mining in Biomedicine (Integrated Series in Information Systems) * Publisher: Springer * Number Of Pages: 647 * Publication Date: 2005-06-21 * Sales Rank: 152351 * ISBN / ASIN: 038724381X * EAN: 9780387243818 * Binding: Hardcover * Manufacturer: Springer * Studio: Springer * Average Rating: * Total Reviews: Book Description: ) Medical Informatics and biomedical computing have grown in quantum measure over the past decade. An abundance of advances have come to the foreground in this field with the vast amounts of biomedical and genomic data, the Internet, and the wide application of computer use in all aspects of medical, biological, and health care research and practice. MEDICAL INFORMATICS: Knowledge Management and Data Mining in Biomedicine covers the basic foundations of the area while extending the foundational material to include the recent leading-edge research in the field. The newer concepts, techniques, and practices of biomedical knowledge management and data mining are introduced and examined in detail. It is the research and applications in these areas that are raising the technical horizons and expanding the utility of informatics to an increasing number of biomedical professionals and researchers. The book is divided into three major topical sections. Section I presents the foundational information and knowledge management material and includes topics such as: bioinformatics challenges and standards, security and privacy, ethical and social issues, and biomedical knowledge mapping. Section II discusses the topics which are relevant to knowledge representations & access and includes topics such as: representations of medical concepts and relationships, genomic information retrieval, 3D medical informatics, public access to anatomic images, and creating and maintaining biomedical ontologies. Section III examines the emerging application research in data mining, biomedical textual mining, and knowledge discovery research and includes topics such as: semantic parsing and analysis for patient records, biological relationships, gene pathways, and metabolic networks, exploratory genomic data analysis, joint learning using data and text mining, and disease informatics and outbreak detection. The book is a comprehensive presentation of the foundations and leading application research in medical informatics/biomedicine. These concepts and techniques are illustrated with detailed case studies. The authors are widely recognized professors and researchers in Schools of Medicine and Information Systems from the University of Arizona, University of Washington, Columbia University, and Oregon Health & Science University. In addition, individual expert contributing authors have been commissioned to write chapters for the book on their respective topical expertise. [url] [ Last edited by asr on 2007-3-26 at 13:27 ] |
回复此楼» 猜你喜欢
280求调剂
已经有5人回复
-
求环氧树脂研发1名
已经有7人回复
-
什么是人一生最重要的？
已经有10人回复
-
面上可以超过30页吧？
已经有13人回复
-
网上报道青年教师午睡中猝死、熬夜猝死的越来越多，主要哪些原因引起的？
已经有10人回复
-
为什么中国大学工科教授们水了那么多所谓的顶会顶刊，但还是做不出宇树机器人？
已经有13人回复
-
版面费该交吗
已经有17人回复
-
【博士招生】太原理工大学2026化工博士
已经有8人回复