Tshepo Chris Nokeri - Artificial Intelligence in Medical Sciences and Psychology: With Application of Machine Language, Computer Vision, and NLP Techniques

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Book cover of Artificial Intelligence in Medical Sciences and Psychology

Tshepo Chris Nokeri

Artificial Intelligence in Medical Sciences and Psychology

With Application of Machine Language, Computer Vision, and NLP Techniques

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Tshepo Chris Nokeri

Pretoria, South Africa

ISBN 978-1-4842-8216-8 e-ISBN 978-1-4842-8217-5

https://doi.org/10.1007/978-1-4842-8217-5

Tshepo Chris Nokeri 2022

Apress Standard

The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.

The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This Apress imprint is published by the registered company APress Media, LLC, part of Springer Nature.

The registered company address is: 1 New York Plaza, New York, NY 10004, U.S.A.

Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub (https://github.com/Apress). For more detailed information, please visit www.apress.com/source-code.

Table of Contents

About the Author

Tshepo Chris Nokeri

harnesses advanced analytics and artificial intelligence to foster innovation and optimize business performance. He delivers complex solutions to companies in the mining, petroleum, and manufacturing industries. He received a bachelors degree in information management. He graduated with honors in business science from the University of the Witwatersrand, Johannesburg, on a Tata Prestigious Scholarship and a Wits Postgraduate Merit Award. He was unanimously awarded the Oxford University Press Prize. Tshepo has authored four books: Data Science Revealed (Apress, 2021), Implementing Machine Learning in Finance (Apress, 2021), Web App Development and Real-Time Web Analytics with Python (Apress, 2021), and Econometrics and Data Science (Apress, 2022).

About the Technical Reviewer

Ashish Soni

is an experienced AIML consultant and solutions architect. He has worked and solved business problems related to computer vision, natural language processing, machine learning, artificial intelligence, data science, statistical analysis, data mining, and cloud computing. Ashish holds a B. Tech. degree in Chemical Engineering from Indian Institute of Technology, Bombay, India; a masters degree in Economics; and a post graduate diploma in Applied Statistics. He has worked across different industry areas such as finance, healthcare, education, sports, human resources, retail, and logistics automation. He currently works with a technology services company based out of Bangalore.

The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022

T. C. Nokeri Artificial Intelligence in Medical Sciences and Psychology https://doi.org/10.1007/978-1-4842-8217-5_1

1. An Introduction to Artificial Intelligence in Medical Sciences and Psychology

Tshepo Chris Nokeri

(1)

Pretoria, South Africa

In this chapter, Ill establish the specific context and structure of the book, and then offer an overview of the varying medical specialties central to it before covering independent subsets of artificial intelligence. I then run through some valuable tools for undertaking exercises, such as the Python programming language, distribution package, and libraries. Lastly, Ill acquaint you with different algorithms, including when to carry them out.

Disclaimer

This book is not a medical article or textbook; rather, it is a programming technical book that demonstrates approaches of properly implementing subsets of artificial intelligence to discover patterns in health sciences. None of the content in this book is health advice.

Context of the Book

This book is not a medical science textbook, nor am I a medical scientist.

The aim of this book is to offer health science practitioners a way of implementing machine learning to simplify their practices. The book does not cover key theoretical concepts underpinning medical fields, as this is outside the scope of this book.

The Books Central Point

Figure shows the medical specialties central to this book.

Figure 1-1

Medical specialities central to this book

I have centered this book on medical and mental health sciences. I present an approach for implementing machine learning to tackle data that is related to medical sciences (i.e., oncology, neuroscience, and cardiology) and social science (i.e., psychology).

Artificial Intelligence Subsets Covered in this Book

Figure exhibits the subsets of artificial intelligence that this book covers to help you understand the practical implications of artificial intelligence in medical sciences.

Figure 1-2

Artificial intelligence subsets covered in this book

This book covers three subsets of artificial intelligence (i.e., machine learning, computer vision, and natural language).

Structure of the Book

Table outlines the structure of the book.

Table 1-1

The Structure of This Book

Chapter	Subset	Medical specialty
Chapter	Deep learning	Cardiology
Chapter	Markovs method and Monte Carlo simulation method	Virology
Chapter	Computer vision and deep learning	Oncology
Chapter	Computer vision and deep learning	Neurology and radiology
Chapter	Computer vision and deep learning	Virology
Chapter	Survival analysis

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