Mathematical Tools for Telemedicine

Inbunden, Engelska, 2025

818 kr

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Beskrivning

This book is intended for professionals who must deal with telemedicine having little or no knowledge of matrix algebra and matrix calculus, and little or no knowledge of higher mathematics with special reference to differential equations: no other books cover these topics starting from scratch.

Produktinformation

Utgivningsdatum:2025-05-08
Mått:155 x 235 x 30 mm
Vikt:973 g
Format:Inbunden
Språk:Engelska
Serie:TELe-Health
Antal sidor:465
Förlag:Springer International Publishing AG
ISBN:9783031817083

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Mer om författaren

Dr. Nichelatti graduated in Biological Sciences at the University of Bologna and obtained a PhD in Public Health (major in Statistics) and a Specialization in Health Statistics from the University of Pavia. Between 1986 and 2002 he worked in various pharmaceutical companies, mainly dealing with clinical research, and since 2006 he has collaborated with the Niguarda hospital as a statistician, dealing with statistical analysis of clinical data and with mathematical modelling of biological systems. He also is a consultant statistician for some pharmaceutical companies and other Italian hospitals. The list of publications can be seen on PubMed; other info about the Author can be retrieved from his ResearchGate page.

Innehållsförteckning

Part 1 General introduction.- Chapter 1 A preamble: what is, and what telemedicine is for.- Chapter 2 How the brain works.- Chapter 3 Some examples of logic reasoning in humans.- Chapter 4 Working with data.- Chapter 5 A note on Bayesian probability.- Chapter 6 Neural networks.- Chapter 7 Machine learning and deep learning.- Chapter 8 Arti.cial intelligence.- Part 2 Telemedicine.- Chapter 9 Systems.- Chapter 10 Telemedicine, e-health, telehealth.- Chapter 11 Computer networks.- Chapter 12 Communications.- Chapter 13 Wearable sensors.- Chapter 14 Medical imaging.- Chapter 15 Some areas of telemedicine.- Chapter 16 Telesurgery.- Part 3 Math insights.- Chapter 17 Calculus in one and more variables.- Chapter 18 Integral transforms.- Chapter 19 A primer of fractional calculus.- Chapter 20 Vectors.- Chapter 21 Matrices.- Chapter 22 Matrix differentiation.- Chapter 23 Differential equations.- Chapter 24 Introduction to partial differential equations.- Chapter 25 Some mathematics for neural networks.