Contents -- Preface -- INTRODUCTION -- Chapter 1 Models and Goals -- A. Origins and Definitions -- B. Automated Computational Aids -- C. Deterministic and Stochastic Models -- D. Inverse Solutions -- E. Model Conformation and Parameter Estimation -- F. Health-Related Goals -- G. Notation Used in Text -- H. Summary -- DETERMINISTIC MODELS -- Chapter 2 Compartmental Analysis -- A. Illustrative Examples -- B. Compartmental Analysis -- C. Single Compartment Models -- D. Parameter Estimation -- E. Multicompartment Models -- F. Computer Simulation -- G. Non-Linear Parameter Estimation -- H. Model Selection and Validation -- I. Summary -- Chapter 3 Modified Compartmental Analysis -- A. Extensions of Compartmental Analysis -- B. Blood Glucose Regulation -- C. Ceruloplasmin Synthesis -- D. Dye Dilution Curves -- E. Lung Models -- F. Summary -- Chapter 4 Enzyme Kinetics -- A. Enzymes and Biology -- B. Proteins and Amino Acids -- C. Prosthetic Groups, Cofactors, and Coenzymes -- D. Molecular Conformation and Chemical Reactions -- E. Michaelis-Menten Kinetics -- F. Estimation of Michaelis-Menten Parameters -- G. Catalase and Peroxidase Reactions -- H. Enzyme Kinetics and Mathematical Biology -- Chapter 5 Enzyme Systems -- A. Transient Kinetics -- B. Perturbation Kinetics -- C. King-Altman Patterns -- D. Metabolic Pathways -- E. Oxidative Phosphorylation -- F. Simulation of Multienzyme Systems -- G. Summary -- TIME SERIES -- Chapter 6 Discrete Time Series -- A. Introduction -- B. Analog to Digital Signal Conversion -- C. Fourier Transforms -- D. Discrete Fourier Transforms -- E. Fast Fourier Transforms -- F. Laplace Transforms -- G. Sampling Theorems -- H. Summary -- Chapter 7 Transforms and Transfer Functions -- A. Transfer Functions -- B. Convolution Integrals -- C. Compartmental Analysis -- D. Dye Dilution Curves -- E. Fast Walsh Transforms.

F. Applications -- Chapter 8 Electrocardiographic Interpretation -- A. Physiological Basis -- B. EKG Characteristics -- C. VKG Patterns -- D. Abnormalities -- E. Simulation and the Inverse Problem -- F. Automated Interpretation of the EKG -- G. Automated Aids to Clinical Diagnosis -- H. Summary -- Chapter 9 Electroencephalographic Analyses -- A. Central Nervous System -- B. EEG Characteristics -- C. Applications of EEG Patterns -- D. Sleep Stages -- E. Spectral Analyses -- F. Compressed Spectral and Other Analyses -- G. Spatial Analyses -- H. Evoked Response Averages -- I. Automation and the EEG -- INFORMATION AND SIMULATION -- Chapter 10 Information Theory -- A. Basic Concepts -- B. Messages and Entropy -- C. Redundancy -- D. Continuous Signals -- E. Analog Digitization -- F. Discrete Systems -- G. Health Sciences Applications -- Chapter 11 Genetic Transfer of Information -- A. Genes and Chromosomes -- B. Cell Replication and Division -- C. Molecular Basis of Genetics -- D. Information Content of DNA -- E. Types of Genes -- F. RNA and Protein Synthesis -- G. Information Theory and Evolution -- H. Genetic Models and Evolution -- Chapter 12 Simulation of Epidemics -- A. Epidemics and Epidemic Theory -- B. Simulation of Stochastic Models -- C. Simplest Stochastic Models -- D. Competition and Vaccination -- E. Structured Populations -- F. Influenza Epidemic Model -- G. Overview -- Chapter 13 Population, Ecology, and the World System -- A. Introduction: Population Models -- B. Exponential Growth -- C. Logistic Growth -- D. Competition and Predator-Prey Interactions -- E. Other Ecology Models -- F. World Systems Models -- G. Simulation and Prediction -- H. Summary -- OVERVIEW -- Chapter 14 Mathematical Models in the Health Sciences -- A. Summary of Text -- B. Other Areas of Mathematical Biology -- C. Other Health Science Applications.

D. Health Computer Sciences -- E. Future Implications -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- X -- Y -- Z.