Principles of biomedical informatics:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Amsterdam
Elsevier/AP
c2014
|
Ausgabe: | Second edition |
Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | Includes bibliographical references and index This second edition of a pioneering technical work in biomedical informatics provides a very readable treatment of the deep computational ideas at the foundation of the field. Principles of Biomedical Informatics, 2nd Edition is radically reorganized to make it especially useable as a textbook for courses that move beyond the standard introductory material. It includes exercises at the end of each chapter, ideas for student projects, and a number of new topics, such as: .tree structured data, interval trees, and time-oriented medical data and their use . On Line Application Processing (OLAP), an old database idea that is only recently coming of age and finding surprising importance in biomedical informatics a discussion of nursing knowledge and an example of encoding nursing advice in a rule-based system X-ray physics and algorithms for cross-sectional medical image reconstruction, recognizing that this area was one of the most central to the origin of biomedical computing .an introduction to Markov processes, and an outline of the elements of a hospital IT security program, focusing on fundamental ideas rather than specifics of system vulnerabilities or specific technologies. It is simultaneously a unified description of the core research concept areas of biomedical data and knowledge representation, biomedical information access, biomedical decision-making, and information and technology use in biomedical contexts, and a pre-eminent teaching reference for the growing number of healthcare and computing professionals embracing computation in health-related fields. As in the first edition, it includes many worked example programs in Common LISP, the most powerful and accessible modern language for advanced biomedical concept representation and manipulation. The text also includes humor, history, and anecdotal material to balance the mathematically and computationally intensive development in many of the topic areas. The emphasis, as in the first edition, is on ideas and methods that are likely to be of lasting value, not just the popular topics of the day. Ira Kalet is Professor Emeritus of Radiation Oncology, and of Biomedical Informatics and Medical Education, at the University of Washington. Until retiring in 2011 he was also an Adjunct Professor in Computer Science and Engineering, and Biological Structure. From 2005 to 2010 he served as IT Security Director for the University of Washington School of Medicine and its major teaching hospitals. He has been a member of the American Medical Informatics Association since 1990, and an elected Fellow of the American College of Medical Informatics since 2011. His research interests include simulation systems for design of radiation treatment for cancer, software development methodology, and artificial intelligence applications to medicine, particularly expert systems, ontologies and modeling |
Beschreibung: | 1 Online-Ressource (xxxvii, 668 pages) |
ISBN: | 9781299953314 129995331X 9780123914620 0123914620 9780124160194 0124160190 |
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500 | |a This second edition of a pioneering technical work in biomedical informatics provides a very readable treatment of the deep computational ideas at the foundation of the field. Principles of Biomedical Informatics, 2nd Edition is radically reorganized to make it especially useable as a textbook for courses that move beyond the standard introductory material. It includes exercises at the end of each chapter, ideas for student projects, and a number of new topics, such as: .tree structured data, interval trees, and time-oriented medical data and their use . | ||
500 | |a On Line Application Processing (OLAP), an old database idea that is only recently coming of age and finding surprising importance in biomedical informatics a discussion of nursing knowledge and an example of encoding nursing advice in a rule-based system X-ray physics and algorithms for cross-sectional medical image reconstruction, recognizing that this area was one of the most central to the origin of biomedical computing .an introduction to Markov processes, and an outline of the elements of a hospital IT security program, focusing on fundamental ideas rather than specifics of system vulnerabilities or specific technologies. | ||
500 | |a It is simultaneously a unified description of the core research concept areas of biomedical data and knowledge representation, biomedical information access, biomedical decision-making, and information and technology use in biomedical contexts, and a pre-eminent teaching reference for the growing number of healthcare and computing professionals embracing computation in health-related fields. As in the first edition, it includes many worked example programs in Common LISP, the most powerful and accessible modern language for advanced biomedical concept representation and manipulation. The text also includes humor, history, and anecdotal material to balance the mathematically and computationally intensive development in many of the topic areas. The emphasis, as in the first edition, is on ideas and methods that are likely to be of lasting value, not just the popular topics of the day. | ||
500 | |a Ira Kalet is Professor Emeritus of Radiation Oncology, and of Biomedical Informatics and Medical Education, at the University of Washington. Until retiring in 2011 he was also an Adjunct Professor in Computer Science and Engineering, and Biological Structure. From 2005 to 2010 he served as IT Security Director for the University of Washington School of Medicine and its major teaching hospitals. He has been a member of the American Medical Informatics Association since 1990, and an elected Fellow of the American College of Medical Informatics since 2011. His research interests include simulation systems for design of radiation treatment for cancer, software development methodology, and artificial intelligence applications to medicine, particularly expert systems, ontologies and modeling | ||
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Datensatz im Suchindex
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any_adam_object | |
author | Kalet, Ira |
author_facet | Kalet, Ira |
author_role | aut |
author_sort | Kalet, Ira |
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dewey-ones | 572 - Biochemistry |
dewey-raw | 572.80285 |
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discipline | Biologie |
edition | Second edition |
format | Electronic eBook |
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spelling | Kalet, Ira Verfasser aut Principles of biomedical informatics Ira J. Kalet Second edition Amsterdam Elsevier/AP c2014 1 Online-Ressource (xxxvii, 668 pages) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index This second edition of a pioneering technical work in biomedical informatics provides a very readable treatment of the deep computational ideas at the foundation of the field. Principles of Biomedical Informatics, 2nd Edition is radically reorganized to make it especially useable as a textbook for courses that move beyond the standard introductory material. It includes exercises at the end of each chapter, ideas for student projects, and a number of new topics, such as: .tree structured data, interval trees, and time-oriented medical data and their use . On Line Application Processing (OLAP), an old database idea that is only recently coming of age and finding surprising importance in biomedical informatics a discussion of nursing knowledge and an example of encoding nursing advice in a rule-based system X-ray physics and algorithms for cross-sectional medical image reconstruction, recognizing that this area was one of the most central to the origin of biomedical computing .an introduction to Markov processes, and an outline of the elements of a hospital IT security program, focusing on fundamental ideas rather than specifics of system vulnerabilities or specific technologies. It is simultaneously a unified description of the core research concept areas of biomedical data and knowledge representation, biomedical information access, biomedical decision-making, and information and technology use in biomedical contexts, and a pre-eminent teaching reference for the growing number of healthcare and computing professionals embracing computation in health-related fields. As in the first edition, it includes many worked example programs in Common LISP, the most powerful and accessible modern language for advanced biomedical concept representation and manipulation. The text also includes humor, history, and anecdotal material to balance the mathematically and computationally intensive development in many of the topic areas. The emphasis, as in the first edition, is on ideas and methods that are likely to be of lasting value, not just the popular topics of the day. Ira Kalet is Professor Emeritus of Radiation Oncology, and of Biomedical Informatics and Medical Education, at the University of Washington. Until retiring in 2011 he was also an Adjunct Professor in Computer Science and Engineering, and Biological Structure. From 2005 to 2010 he served as IT Security Director for the University of Washington School of Medicine and its major teaching hospitals. He has been a member of the American Medical Informatics Association since 1990, and an elected Fellow of the American College of Medical Informatics since 2011. His research interests include simulation systems for design of radiation treatment for cancer, software development methodology, and artificial intelligence applications to medicine, particularly expert systems, ontologies and modeling Medical Informatics Computational Biology HEALTH & FITNESS / Holism bisacsh HEALTH & FITNESS / Reference bisacsh MEDICAL / Alternative Medicine bisacsh MEDICAL / Atlases bisacsh MEDICAL / Essays bisacsh MEDICAL / Family & General Practice bisacsh MEDICAL / Holistic Medicine bisacsh MEDICAL / Osteopathy bisacsh Medizin Medical informatics Bioinformatics Medizinische Informatik (DE-588)4038261-8 gnd rswk-swf Bioinformatik (DE-588)4611085-9 gnd rswk-swf Electronic books Bioinformatik (DE-588)4611085-9 s 1\p DE-604 Medizinische Informatik (DE-588)4038261-8 s 2\p DE-604 http://www.sciencedirect.com/science/book/9780124160194 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Kalet, Ira Principles of biomedical informatics Medical Informatics Computational Biology HEALTH & FITNESS / Holism bisacsh HEALTH & FITNESS / Reference bisacsh MEDICAL / Alternative Medicine bisacsh MEDICAL / Atlases bisacsh MEDICAL / Essays bisacsh MEDICAL / Family & General Practice bisacsh MEDICAL / Holistic Medicine bisacsh MEDICAL / Osteopathy bisacsh Medizin Medical informatics Bioinformatics Medizinische Informatik (DE-588)4038261-8 gnd Bioinformatik (DE-588)4611085-9 gnd |
subject_GND | (DE-588)4038261-8 (DE-588)4611085-9 |
title | Principles of biomedical informatics |
title_auth | Principles of biomedical informatics |
title_exact_search | Principles of biomedical informatics |
title_full | Principles of biomedical informatics Ira J. Kalet |
title_fullStr | Principles of biomedical informatics Ira J. Kalet |
title_full_unstemmed | Principles of biomedical informatics Ira J. Kalet |
title_short | Principles of biomedical informatics |
title_sort | principles of biomedical informatics |
topic | Medical Informatics Computational Biology HEALTH & FITNESS / Holism bisacsh HEALTH & FITNESS / Reference bisacsh MEDICAL / Alternative Medicine bisacsh MEDICAL / Atlases bisacsh MEDICAL / Essays bisacsh MEDICAL / Family & General Practice bisacsh MEDICAL / Holistic Medicine bisacsh MEDICAL / Osteopathy bisacsh Medizin Medical informatics Bioinformatics Medizinische Informatik (DE-588)4038261-8 gnd Bioinformatik (DE-588)4611085-9 gnd |
topic_facet | Medical Informatics Computational Biology HEALTH & FITNESS / Holism HEALTH & FITNESS / Reference MEDICAL / Alternative Medicine MEDICAL / Atlases MEDICAL / Essays MEDICAL / Family & General Practice MEDICAL / Holistic Medicine MEDICAL / Osteopathy Medizin Medical informatics Bioinformatics Medizinische Informatik Bioinformatik |
url | http://www.sciencedirect.com/science/book/9780124160194 |
work_keys_str_mv | AT kaletira principlesofbiomedicalinformatics |