Medical device data and modeling for clinical decision making [electronic resource] /
John R. Zaleski.
Boston : Artech House, c2011.
xii, 344 p. : ill. ; 26 cm.
1608070948 (hbk.), 9781608070947 (hbk.)
More Details
Boston : Artech House, c2011.
1608070948 (hbk.)
9781608070947 (hbk.)
Licensed for access by U. of T. users.
contents note
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.
catalogue key
Includes bibliographical references (p. 331-334) and index.
A Look Inside
About the Author
Author Affiliation
John R. Zaleski is the vice president of clinical applications and the chief technology officer for Nuvon, Inc. Previously, he was the senior director and research department head of Biomedical Informatics at Philips Research North America and was a product manager for the critical care product line and director of clinical research at Siemens Health Services USA. Dr. Zaleski holds a Ph.D. in systems engineering with a specialization in medical and biomedical systems from the University of Pennsylvania.
This item was reviewed in:
Reference & Research Book News, February 2011
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Main Description
This cutting-edge volume is the first book that provides you with practical guidance on the use of medical device data for bioinformatics modeling purposes. You learn how to develop original methods for communicating with medical devices within healthcare enterprises and assisting with bedside clinical decision making. The book guides in the implementation and use of clinical decision support methods within the context of electronic health records in the hospital environment. This highly valuable reference also teaches budding biomedical engineers and bioinformaticists the practical benefits of using medical device data. Supported with over 100 illustrations, this all-in-one resource discusses key concepts in detail and then presents clear implementation examples to give you a complete understanding of how to use this knowledge in the field.
Table of Contents
Prefacep. xi
Introduction to Physiological Modeling in Medicine: A Survey of Existing Methods, Approaches, and Trendsp. 1
Overviewp. 1
The Art of Modeling and Predictionp. 2
Why Model?p. 3
Multivariate Models and Model Complexityp. 6
Clinical Informatics and Meaningful Usep. 8
Types of Modelsp. 9
Stochastic Modeling and Monte Carlo Simulationp. 12
Guidelines and Protocolsp. 14
Summaryp. 16
Referencesp. 17
Simulation and Modeling Techniquesp. 19
Simulating Physical Systemsp. 19
Introduction to Monte Carlo Simulationp. 20
Introduction to Discrete Event Simulationp. 30
Queuing and Discrete Event Simulation Modelsp. 32
Deterministic Mathematical Modelsp. 39
Probability and Statisticsp. 39
Binomial Probability Distributionp. 40
Gaussian Probability Distributionp. 42
Exponential Distributionp. 48
Poisson Distributionp. 49
Confidence Intervalsp. 51
Sensitivity, Specificity and Confidence Intervalsp. 55
Chi-Square Testsp. 58
The Concept of ¿2 and the Assignment Problemp. 62
Other Applications of Optimal Assignment Methodologiesp. 65
Noise and Error Representationp. 68
Special Case: Gauss-Markov Random Processesp. 75
Queuing Theory Deep Dive and Examplesp. 77
Summaryp. 81
Referencesp. 83
Introduction to Automatic Control Systems Theory and Applicationsp. 85
State Space Modelingp. 85
Controllability and Observabilityp. 99
The Feedback Control Loopp. 105
System Stabilityp. 109
Techniques for Representing Physical Phenomenap. 113
Referencesp. 117
Physical System Modeling and State Representationp. 119
Fluid Mechanics Applicationsp. 119
Electrical Signal and Circuit Analogs to Physical Systemsp. 132
Simplified Physiological Systems Modelingp. 136
Referencesp. 139
Medical Device Data Measurement, Interoperability, Interfacing, and Analysisp. 141
Types of Medical Devices Used for Physiological Measurementp. 141
Medical Device Interfaces, Standards, and Interoperability Initiativesp. 144
Medical Device Data Collection, Validation, and Clinical Usep. 145
Biomedical Device Interoperability and the Electronic Medical Recordp. 147
Associating Biomedical Device Data with Patientsp. 149
Spatial-Temporal Modeling of Medical Device Datap. 149
Biomedical Data Storage and Retrievalp. 155
Applying Wavelet Transforms to Biomedical Device Datap. 161
Summaryp. 163
Referencesp. 165
Systems Modeling Example Applicationsp. 167
Modeling to Assist Diagnosis and Treatmentp. 167
Clinical Workflow and Decision Supportp. 168
Systems Modeling and Integrationp. 173
Integrating Clinical Decision Support Systems Within Clinical Information Systemsp. 178
Summaryp. 181
Referencesp. 182
Modeling Benefits, Cautions, and Future Workp. 185
Referencesp. 187
Appendix Ap. 189
Monte Carlo Simulation: Computing ¿p. 189
Referencep. 193
Appendix Bp. 195
Monte Carlo Simulation: Stereo Viewing Covariance Modelp. 195
Appendix Cp. 211
Optimal Assignment Algorithmp. 211
Appendix Dp. 219
Simple Discrete Event Modelp. 219
Referencep. 227
Appendix Ep. 229
Gaussian Random Number Generationp. 229
Referencep. 232
Appendix Fp. 233
Poisson and Exponentially Distributed Random Numbersp. 233
Appendix Gp. 237
Java Applet Plotterp. 237
Method Overviewp. 237
Creating the Active X Data Object (ADO)p. 237
Applet Designp. 241
Design of the Active Server Pagep. 246
Setting Up a Virtual Directoryp. 253
Referencesp. 258
Appendix Hp. 259
Kalman Filterp. 259
Appendix Ip. 283
Line Plotterp. 283
Appendix Jp. 307
Control Systems Modeling: Spring Mass Response to Step Functionp. 307
List of Acronymsp. 327
Bibliographyp. 331
About the Authorp. 335
Indexp. 337
Table of Contents provided by Ingram. All Rights Reserved.

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