Description
| Product ID: | 9781484282168 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Title: | Artificial Intelligence in Medical Sciences and Psychology |
| Subtitle: | With Application of Machine Language, Computer Vision, and NLP Techniques |
| Authors: | Author: Tshepo Chris Nokeri |
| Page Count: | 173 |
| Subjects: | Programming and scripting languages: general, Programming & scripting languages: general, Artificial intelligence, Machine learning, Artificial intelligence, Machine learning |
| Description: | Select Guide Rating 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 LearnApply artificial neural networks when modelling medical dataKnow the standard method for Markov decision making and medical data simulationUnderstand survival analysis methods for investigating data from a clinical trialUnderstand medical record categorizationMeasure personality differences using psychological modelsWho This Book Is ForMachine 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 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
Who This Book Is For 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 |
| Imprint Name: | APress |
| Publisher Name: | APress |
| Country of Publication: | GB |
| Publishing Date: | 2022-05-20 |
