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Books on the topic 'Medicine – Mathematical models'

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Author: Grafiati

Published: 4 June 2021

Last updated: 29 January 2023

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1

Simon, William. Mathematical techniques for biology and medicine. New York: Dover Publications, 1986.

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2

Mathematical techniques for biology and medicine. New York: Dover Publications, 1986.

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3

Akram, Aldroubi, and Unser Michael A, eds. Wavelets in medicine and biology. Boca Raton: CRC Press, 1996.

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4

Heinz, Schättler, Friedman Avner, Kashdan Eugene, and SpringerLink (Online service), eds. Mathematical Methods and Models in Biomedicine. New York, NY: Springer New York, 2013.

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5

Mathematical modelling in biomedicine: Optimal control of biomedical systems. Dordrecht, Holland: D. Reidel Pub. Co., 1986.

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6

Mathematical methods and models in the biological sciences. Englewood Cliffs, N.J: Prentice Hall, 1988.

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7

Kawamura, Noriyuki. Kenkōdo no sokuteihō oyobi keisanshiki no kaihatsu ni kansuru kenkyū: Heisei 13-nendo sōkatsu buntan kenkyū hōkokusho. [Japan: s.n.], 2002.

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8

J, Hosking R., and Venturino Ezio, eds. Aspects of mathematical modelling: Applications in science, medicine, economics and management. Basel: Birkhäuser, 2008.

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9

Nuclear medicine applications and their mathematical basis. Singapore: World Scientific, 2011.

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10

Goris, Michael L. Nuclear medicine applications and their mathematical basis. Singapore: World Scientific, 2011.

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11

International, Conference on Modelling in Medicine and Biology (7th 2007 New Forest England :. Forest). Modelling in medicine and biology VII. Southampton UK: WIT, 2007.

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12

Anne, Beuter, ed. Nonlinear dynamics in physiology and medicine. New York: Springer-Verlag, 2003.

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13

Brebbia, C. A. Modelling in medicine and biology. Southampton: WIT Press, 2011.

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14

H, Koslow Stephen, Mandell Arnold J, Shlesinger Michael F, New York Academy of Sciences., National Institute of Mental Health (U.S.), and United States. Office of Naval Research., eds. Perspectives in biological dynamics and theoretical medicine. New York, N.Y: New York Academy of Sciences, 1987.

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15

Amini, Amir A. Measurement of Cardiac Deformations from MRI: Physical and Mathematical Models. Dordrecht: Springer Netherlands, 2002.

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16

Hungary) International Conference on Modelling in Medicine and Biology (10th 2011 Budapest. Modelling in medicine and biology X. Edited by Kiss R and Brebbia C. A. Southampton: WIT Press, 2013.

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17

IFAC, Symposium on Modelling and Control in Biomedical Systems (6th 2006 Reims France). Modelling and control in biomedical systems 2006 (including biological systems): A proceedings volume from the 6th IFAC symposium, Reims, France 20-22 September 2006. Oxford: Elsevier for International Federation of Automatic Control, 2006.

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18

Dorfman, Abram S. Applications of Mathematical Heat Transfer and Fluid Flow Models in Engineering and Medicine. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119320715.

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19

N, Balakrishnan, Nikulin M. S, and SpringerLink (Online service), eds. Mathematical and Statistical Models and Methods in Reliability: Applications to Medicine, Finance, and Quality Control. Boston: Springer Science+Business Media, LLC, 2010.

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20

Witten, M. Mathematical Models in Medicine. Elsevier Science Pub Co, 1988.

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21

Matthew, Witten, ed. Mathematical models in medicine, volume 2. Oxford: Pergamon Press, 1988.

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22

Cruickshank, Steven. Mathematical models and anaesthesia. Edited by Jonathan G. Hardman. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199642045.003.0027.

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Abstract:

The use of mathematics in medicine is not as widespread as it might be. While professional engineers are instructed in a wide variety of mathematical techniques during their training in preparation for their daily practice, tradition and the demands of other subjects mean that doctors give little attention to numerical matters in their education. A smattering of statistical concepts is typically the main mathematical field that we apply to medicine. The concept of the mathematical model is important and indeed familiar; personal finance, route planning, home decorating, and domestic projects all require the application of the basic mathematical tools we acquire at school. This utility is why we learn them. The insight that can be gained by applying mathematics to physiological and other problems within medical practice is, however, underexploited. The undoubted complexity of human biology and pathology perhaps leads us to give up too soon. There are useful and practical lessons that can be learned from the use of elementary mathematics in medicine. Anaesthetic training in particular lends itself to such learning with its emphasis on physics and clinical measurement. Much can be achieved with simple linear functions and hyperbolas. Further exploration into exponential and sinusoidal functions, although a little more challenging, is well within our scope and enables us to cope with many time-dependent and oscillatory phenomena that are important in clinical anaesthetic practice. Some fundamental physiological relationships are explained in this chapter using elementary mathematical functions. Building further on the foundation of simple models to cope with more complexity enables us to see the process, examine the predictions, and, most importantly, assess the plausibility of these models in practice. Understanding the structure of the model enables intelligent interpretation of its output. Some may be inspired to investigate some of the mathematical concepts and their applications further. The rewards can be intellectually, aesthetically, and practically fruitful. The subtle, revelatory, and quite beautiful connection between exponential and trigonometric functions through the concept of complex numbers is one example. That this connection has widespread practical importance too is most pleasing.

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23

Matthew, Witten, ed. Mathematical models in medicine: Diseases and epidemics. New York: Pergamon Press, 1987.

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24

1951-, Witten Matthew, ed. Mathematical models in medicine: Diseases and epidemics. New York: Pergamon Press, 1987.

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25

S, Alves Carlos J., Pardalos P. M. 1954-, and Vicente L. N, eds. Optimization in medicine. New York: Springer, 2008.

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26

Kuang, Yang, John D. Nagy, and Steffen E. Eikenberry. Introduction to Mathematical Oncology. Taylor & Francis Group, 2018.

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27

Kuang, Yang, John D. Nagy, and Steffen E. Eikenberry. Introduction to Mathematical Oncology. Taylor & Francis Group, 2018.

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28

Kuang, Yang, John D. Nagy, and Steffen E. Eikenberry. Introduction to Mathematical Oncology. Taylor & Francis Group, 2018.

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29

Kuang, Yang, John D. Nagy, and Steffen E. Eikenberry. Introduction to Mathematical Oncology. Taylor & Francis Group, 2018.

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30

Introduction to Mathematical Oncology. Taylor & Francis Group, 2021.

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31

Kuang, Yang, John D. Nagy, and Steffen E. Eikenberry. Introduction to Mathematical Oncology. Taylor & Francis Group, 2018.

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32

Kuang, Yang, John D. Nagy, and Steffen E. Eikenberry. Introduction to Mathematical Oncology. Taylor & Francis Group, 2018.

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33

Weibel, Ewald R., Gabriele A. Losa, and Theo F. Nonnenmacher. Fractals in Biology and Medicine. Birkhauser Verlag, 2013.

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34

Weibel, Ewald R., Gabriele A. Losa, and Theo F. Nonnenmacher. Fractals in Biology and Medicine. Springer Basel AG, 2012.

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35

Weibel, Ewald R., Gabriele A. Losa, Danilo Merlini, and Theo F. Nonnenmacher. Fractals in Biology and Medicine. Birkhauser Verlag, 2012.

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36

1945-, Capasso V., and Demongeot J, eds. Mathematics applied to biology and medicine. Winnipeg, Canada: Wuerz, 1993.

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37

Exactly Solvable Models of Biological Invasion (Mathematical Biology and Medicine). Chapman & Hall/CRC, 2005.

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38

Mathematical Methods And Models In Biomedicine. Springer, 2012.

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39

1965-, Horn Mary Ann, Simonett Gieri 1959-, and Webb G. F. 1942-, eds. Mathematical models in medical and health science. Nashville: Vanderbilt University Press, 1998.

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40

Weibel, Ewald R., Gabriele A. Losa, Danilo Merlini, and Theo F. Nonnenmacher. Fractals in Biology and Medicine: Volume IV. Springer London, Limited, 2005.

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41

(Editor), G. Losa, T. Nonnenmacher (Editor), D. Merlini (Editor), and E. R. Weibel (Editor), eds. Fractals in Biology and Medicine, Volume II. Birkhauser, 1998.

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42

Dynamical Models in Medicine (Chapman & Hall/Crc Mathematical & Computational Biology). Mayo Clinic Scientif, 2009.

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43

M, Thompson, H. Marcus-Roberts, and W. F. Lucas. Life Science Models. Springer, 2011.

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44

Hassanien, Aboul Ella, Crina Grosan, and Mohamed Fahmy Tolba. Applications of Intelligent Optimization in Biology and Medicine: Current Trends and Open Problems. Springer, 2015.

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45

Grosan, Crina, Aboul-Ella Hassanien, and Mohamed Fahmy Tolba. Applications of Intelligent Optimization in Biology and Medicine: Current Trends and Open Problems. Springer, 2016.

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46

Hassanien, Aboul Ella, Crina Grosan, and Mohamed Fahmy Tolba. Applications of Intelligent Optimization in Biology and Medicine: Current Trends and Open Problems. Springer International Publishing AG, 2015.

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47

Unser, Michael, and Akram Aldroubi. Wavelets in Medicine and Biology. CRC Press LLC, 2017.

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48

Unser, Michael, and Akram Aldroubi. Wavelets in Medicine and Biology. CRC Press LLC, 2017.

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49

Unser, Michael, and Akram Aldroubi. Wavelets in Medicine and Biology. CRC Press LLC, 2017.

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50

Unser, Michael, and Akram Aldroubi. Wavelets in Medicine and Biology. CRC Press LLC, 2017.

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