univ of minnesota pr mathematical models in the health sciences a computer aided approach nov 1979

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univ of minnesota pr mathematical models in the health sciences a computer aided approach nov 1979

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[...]... important in mathematical modeling to define the uses, goals, and validation of models The remainder of this chapter is a general discussion of various types of models, as these bear on the goals of mathematical modeling in the health sciences Models and Goals 5 B Automated Computational Aids Before the introduction of computer technology, it was necessary in working with mathematical models of biomedical... have been incorporated into some of the chapters However, the book is about mathematical applications and is not a text of computer use Therefore, the notation retains several standard mathematical conventions that the authors believe facilitate reading, particularly for the mathematically adept Thus several conventions shared by many scientific computational languages, such as the use of capital letters... provides a philosophic guide to the health science applications of mathematics with emphasis on the uses of computer technologies presented in the remaining chapters Mathematical applications that are neither trivial nor primarily statistical in nature and mathematical models that can be realized and utilized most conveniently with the aid of digital computer techniques are discussed Such models can be classed... as the range of applicability of the mathematical model to achieve one or more of the modeling goals G Notation Used in Text This text emphasizes the application of mathematics to the health sciences using digital computer processing Accordingly the notation adopted facilitates coding the equations in the text in high-level computer languages To further support this orientation program segments have... term Mathematical biology and biostatistics are often combined and called biomathematics, and if biomedical computing is incorporated, the combination is sometimes called biometry Some reserve the last word for biostatistics per se Mathematical modeling as presented in this text can be considered an essential part of a program in health computer sciences The modeling techniques included in mathematical. .. related to specific biomedical applications However, to emphasize the two senses in which linear is used, four abstract examples are presented in an accompanying table Mathematical models are presented in the table both as differential equations and as their analytic solutions Arbitrary decisions concerning integration constants have been introduced The variables are labeled y and t, and the parameters... languages, and special simulation languages, caused a rapid change in the use of mathematical models for all health sciences In the 1970s, the question of whether a separate or integrated discipline devoted to mathematical modeling exists is competitively discussed and debated This text discusses selected applications of mathematics to biology, to medicine, and to other health- related disciplines in. .. include many articles based on the use of a mathematical model All these provide a better view of current areas of research activity than can a textbook On the other hand, it is hoped that this textbook provides more perspective and a more nearly global overview of health- related mathematical models by considering selected health science applications of mathematics with emphasis on the use of computer. .. example in Equation 1-3 is used in Chapter 2 and the one illustrated in Equation 1-4 appeals in Chapter 13 Although all real biological systems can be shown to be nonlinear in the engineering sense, nonetheless many can be adequately approximated by models that are based on linear differential relationships between the variables but involve parameters in a nonlinear fashion in their solution One property... elements in the models grows These models have been included in this text because they fail to fit the usual pattern of biostatistics and because of the crucial role of simulation in these studies The final chapter is an overview of mathematical modeling in the health sciences It is the companion to this introduction, albeit considerably shorter It should prove more meaningful after the intervening chapters . class="bi x0 y0 w0 h0" alt="" MATHEMATICAL MODELS IN THE HEALTH SCIENCES A Computer- Aided Approach This page intentionally left blank MATHEMATICA L MODELS IN THE HEALTH SCIENCES A Computer- Aided . Computer- Aided Approach Eugene Ackerman, Ph.D. Profess or Lael Cranmer Gatewood, Ph.D. Associate Professor and Director Health Computer Sciences University of Minnesota UNIVERSITY OF MINNESOTA. 1920- Mathematical models in the health sciences. Bibliography: p. Includes index. 1. Medicine Mathematical models. 2. Medicine—Data processing. I. Gatewood, Lael Cranmer, joint author.

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  • 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

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