Overview
- Covers descriptive analysis, visualizing medical data, and developing/evaluating algorithms
- Explains integrating deep belief networks and CNNs, computer vision, and NLP to find patterns in medical data
- Presents CNNs to model chest CT scan images and differentiate patients with/without COVID-19
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Table of contents (9 chapters)
Keywords
About this book
Get started with artificial intelligence for medical sciences and psychology. This book will help healthcare professionals and technologists solve problems using machine learning methods, computer vision, and natural language processing (NLP) techniques.
The book covers ways to use neural networks to classify patients with diseases. You will know how to apply computer vision techniques and convolutional neural networks (CNNs) to segment diseases such as cancer (e.g., skin, breast, and brain cancer) and pneumonia. The hidden Markov decision making process is presented to help you identify hidden states of time-dependent data. In addition, it shows how NLP techniques are used in medical records classification.
This book is suitable for experienced practitioners in varying medical specialties (neurology, virology, radiology, oncology, and more) who want to learn Python programming to help them work efficiently. It is also intended for data scientists, machine learning engineers, medical students, and researchers.
What You Will Learn
- Apply artificial neural networks when modelling medical data
- Know the standard method for Markov decision making and medical data simulation
- Understand survival analysis methods for investigating data from a clinical trial
- Understand medical record categorization
- Measure personality differences using psychological models
Machine learning engineers and software engineers working on healthcare-related projects involving AI, including healthcare professionals interested in knowing how AI can improve their work setting
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Artificial Intelligence in Medical Sciences and Psychology
Book Subtitle: With Application of Machine Language, Computer Vision, and NLP Techniques
Authors: Tshepo Chris Nokeri
DOI: https://doi.org/10.1007/978-1-4842-8217-5
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Tshepo Chris Nokeri 2022
Softcover ISBN: 978-1-4842-8216-8Published: 20 May 2022
eBook ISBN: 978-1-4842-8217-5Published: 19 May 2022
Edition Number: 1
Number of Pages: XI, 173
Number of Illustrations: 2 b/w illustrations, 57 illustrations in colour
Topics: Artificial Intelligence, Machine Learning, Python