Medical Device Data and Modeling for Clinical Decision Making -- Contents -- Preface -- Chapter 1 Introduction to Physiological Modelingin Medicine: A Survey of Existing Methods, Approaches, and Trends -- 1.1 Overview -- 1.2 The Art of Modeling and Prediction -- 1.3 Why Model? -- 1.4 Multivariate Models and Model Complexity -- 1.5 Clinical Informatics and Meaningful Use -- 1.6 Types of Models -- 1.7 Stochastic Modeling and Monte Carlo Simulation -- 1.8 Guidelines and Protocols -- 1.9 Summary -- References -- Chapter 2 Simulation and Modeling Techniques -- 2.1 Simulating Physical Systems -- 2.2 Introduction to Monte Carlo Simulation -- 2.3 Introduction to Discrete Event Simulation -- 2.4 Queuing and Discrete Event Simulation Models -- 2.5 Deterministic Mathematical Models -- 2.6 Probability and Statistics -- 2.6.1 Binomial Probability Distribution -- 2.6.2 Gaussian Probability Distribution -- 2.6.3 Exponential Distribution -- 2.6.4 Poisson Distribution -- 2.6.5 Confidence Intervals -- 2.7 Sensitivity, Specificity, and Confidence Intervals -- 2.8 Chi-Square Tests -- 2.9 The Concept of c2 and the Assignment Problem -- 2.10 Other Applications of Optimal Assignment Methodologies -- 2.11 Noise and Error Representation -- 2.12 Queuing Theory Deep Dive and Examples -- 2.13 Summary -- References -- Chapter 3 Introduction to Automatic Control Systems Theory and Applications -- 3.1 State Space Modeling -- 3.2 Controllability and Observability -- 3.3 The Feedback Control Loop -- 3.4 System Stability -- 3.5 Techniques for Representing Physical Phenomena -- Chapter 4 Physical System Modeling and State Representation -- 4.1 Fluid Mechanics Applications -- 4.2 Electrical Signal and Circuit Analogs to Physical Systems -- 4.3 Simplified Physiological Systems Modeling -- References.

Chapter 5 Medical Device Data Measurement, Interoperability, Interfacing, and Analysis -- 5.1 Types of Medical Devices Used for Physiological Measurement -- 5.2 Medical Device Interfaces, Standards, and Interoperability Initiatives -- 5.3 Medical Device Data Collection, Validation, and Clinical Use -- 5.4 Biomedical Device Interoperability and the Electronic Medical Record -- 5.5 Associating Biomedical Device Data with Patients -- 5.6 Spatial-Temporal Modeling of Medical Device Data -- 5.7 Biomedical Data Storage and Retrieval -- 5.8 Applying Wavelet Transforms to Biomedical Device Data -- 5.9 Summary -- References -- Chapter 6 Systems Modeling Example Applications -- 6.1 Modeling to Assist Diagnosis and Treatment -- 6.2 Clinical Workflow and Decision Support -- 6.3 Systems Modeling and Integration -- 6.4 Integrating Clinical Decision Support Systems Within Clinical Information Systems -- 6.5 Summary -- References -- Chapter 7 Modeling Benefits, Cautions,and Future Work -- References -- Appendix A -- A.1 Monte Carlo Simulation: Computing p -- Reference -- Appendix B -- B.1 Monte Carlo Simulation: Stereo Viewing Covariance Model -- Appendix C -- C.1 Optimal Assignment Algorithm -- Appendix D -- D.1 Simple Discrete Event Model -- Reference -- Appendix E -- E.1 Gaussian Random Number Generation -- Reference -- Appendix F -- F.1 Poisson and Exponentially Distributed Random Numbers -- Appendix G -- G.1 Java Applet Plotter -- G.1.1 Method Overview -- G.1.2 Creating the ActiveX Data Object (ADO) -- G.1.3 Applet Design -- G.1.4 Design of the Active Server Page -- G.1.5 Setting Up a Virtual Directory -- References -- Appendix H -- H.1 Kalman Filter -- Appendix I -- I.1 Line Plotter -- Appendix J -- J.1 Control Systems Modeling: Spring Mass Response to Step Function -- List of Acronyms -- Bibliography -- About the Author -- Index.