An edition of Medical device data and modeling for clinical decision making
(2011)
Medical device data and modeling for clinical decision making
by John Zaleski
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Subjects
Medical Informatics, Decision Support Techniques, Medical informatics, Methods, Medicine, Data processing, Decision making, Mathematical models, Medical Informatics Applications, Médecine, Informatique, Prise de décision, Modèles mathématiques, TECHNOLOGY & ENGINEERING, Biomedical, MEDICAL, Family & General Practice, Allied Health Services, Medical Technology, Biotechnology, Lasers in Medicine| Edition | Availability |
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Medical device data and modeling for clinical decision making
2011, Artech House
in English
1608070948 9781608070947
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Book Details
Table of Contents
Introduction to physiological modeling in medicine : a survey of existing methods, approaches, and trends. Overview ; The art of modeling and prediction ; Why model? ; Multivariate models and model complexity ; Clinical informatics and meaningful use ; Types of models ; Stochastic modeling and Monte Carlo simulation ; Guidelines and protocols ; Summary
Simulation and modeling techniques. simulating physical systems ; Introduction to Monte Carlo simulation ; Introduction to discrete event simulation models ; Deterministic mathematical models ; Probability and statistics ; Sensitivity, specifity and confidence intervals ; Chi-square tests ; The concept of x² and the assignment problem ; Other applications of optimal assignment methodologies ; Noise and error representation ; Queuing theory deep dive and examples ; Summary
Introduction to automatic control systems theory and applications. State space modeling ; Controllability and observability ; The feedback control loop ; System stability ; Techniques for representing physical phenomena
Physical system modeling and state representation. Fluid mechanics applications ; Electrical signal and circuit analogs to physical systems ; Simplified physiological systems modeling
Medical device data measurement, interoperability, interfacing, and analysis. Types of medical devices used for physiological measurement ; Medical device interfaces, standards, and interoperability initiatives ; Medical device data collection, validation, and clinical use ; Biomedical device interoperability and the electronic medical record ; Associating biomedical device data with patients ; Spatial-temporal modeling of medical device data ; Biomedical data storage and retrieval ; Applying wavelet transforms to biomedical device data ; Summary
Systems modeling example applications. Modeling to assist diagnosis and treatment ; Clinical workflow and decision support ; Systems modeling and integration ; Integrating clinical decision support systems within clinical information systems ; Summary
Modeling benefits, cautions, and future work
Appendix. Monte Carlo simulation : computing [pi] ; Monte Carlo simulation : stereo viewing covariance model ; Optimal assignment algorithm ; Simple discrete event model ; Gaussian random number generation ; Poisson and exponentially distributed random numbers ; Java applet plotter ; Kalman filter ; Line plotter ; Control systems modeling : spring mass response to step function.
Edition Notes
Includes bibliographical references (p. 331-334) and index.
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| December 15, 2022 | Edited by MARC Bot | import existing book |
| September 22, 2020 | Edited by MARC Bot | import existing book |
| July 25, 2012 | Created by LC Bot | import new book |