Scope of the Series

Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. In today´s highly integrated world, AI promises to become a robust and powerful mean for obtaining solutions to previously unsolvable problems. This book series is intended for researchers and students alike, as well as all those interested in this fascinating field and its applications, in particular in areas related to the topics on which it is focused.

Contents

**Section 1**

Medicine

**Section 2**

**Section 3**

Medical Coding

*by Alexander F.I. Osman*

**Preface III**

Machine Learning Applications **1**

**Chapter 1 3** Designing Data-Driven Learning Algorithms: A Necessity to Ensure Effective

**Chapter 2 19**

**Chapter 3 41** Radiation Oncology in the Era of Big Data and Machine Learning for Precision

Image Processing in Medicine and Biology **71**

**Chapter 4 73**

Emerging Paradigms of Machine Learning **93**

**Chapter 5 95**

**Chapter 6 119**

Using Artificial Intelligence and Big Data-Based Documents to Optimize

*by Gaston K. Mazandu, Irene Kyomugisha, Ephifania Geza, Milaine Seuneu,* 

*by Rajat Emanuel Singh, Kamran Iqbal, Gannon White and Jennifer K. Holtz*

A Review of EMG Techniques for Detection of Gait Disorders

A Survey on 3D Ultrasound Reconstruction Techniques

Quantum Neural Machine Learning: Theory and Experiments

*by Joseph Noussa-Yao, Didier Heudes and Patrice Degoulet*

*by Farhan Mohamed and Chan Vei Siang*

*by Carlos Pedro dos Santos Gonçalves*

Post-Genomic Medicine and Biomedical Research

*Bubacarr Bah and Emile R. Chimusa*
