Mathematical Tools for Telemedicine

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.

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• Tecnologia da informação: aspectos gerais
• Ciência da Computação
• Fabricação auxiliada por computador
• Matemática

Telemedicine and eHealth;Calculus matrix derivatives;Linear and matrix algebra;Matrix derivatives;Analysis and calculus;Fractional calculus;Signals and systems;Differential equations;Mathematical modeling