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

Format:

Book

Author/Creator:

Nokeri, Tshepo Chris, author.

Language:

English

Subjects (All):

Artificial intelligence.

Machine learning.

Python (Computer program language).

Artificial Intelligence.

Machine Learning.

Python.

Local Subjects:

Artificial Intelligence.

Machine Learning.

Python.

Physical Description:

1 online resource (178 pages)

Edition:

1st ed. 2022.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2022.

Summary:

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 learningengineers, 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.

Contents:

Chapter 1: An Introduction to Artificial Intelligence for Medical Sciences and Psychology

Chapter 2: Realizing Patterns in Diseases with Neural Networks

Chapter 3: A Case for COVID-19: Considering the Hidden States and Simulation Results

Chapter 4: Cancer Segmentation with Neural Networks

Chapter 5: Modelling Magnetic Resonance Imaging and X-Rays by Executing Artificial Neural Networks

Chapter 6: A Case for COVID-19 CT Scan Segmentation

Chapter 7 Modelling Clinical Trial Data

Chapter 8: Medical Record Categorization

Chapter 9: A Case for Psychology: Factoring and Clustering Personality Dimensions.

Notes:

Includes index.

Print version record.

ISBN:

9781484282175

1484282175

OCLC:

1321789939