| Description |
1 online resource (xi, 173 pages : illustrations (chiefly color)) |
| Note |
Includes index. |
| 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 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 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. |
| Contents |
An Introduction to Artificial Intelligence in Medical Sciences and Psychology -- Realizing Patterns in Diseases with Neural Networks -- A case for COVID-19: considering the hidden states and simulation results -- Cancer Segmentation with Neural Networks -- Modeling Magnetic Resonance Imaging and X-Rays by Executing Artificial Neural Networks -- A Case for COVID-19 CT Scan Segmentation -- Modeling Clinical Trial Data -- Medical Records Categorization -- A Case for Psychology: Factoring and Clustering Personality Dimensions -- Index. |
| Subject |
Artificial intelligence.
|
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Automatic data collection systems.
|
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Artificial Intelligence |
|
Intelligence artificielle. |
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Collecte automatique des données. |
|
artificial intelligence. |
|
Artificial intelligence |
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Automatic data collection systems |
| Other Form: |
Print version: Nokeri, Tshepo Chris. Artificial Intelligence in Medical Sciences and Psychology. Berkeley, CA : Apress L.P., ©2022 9781484282168 |
| ISBN |
9781484282175 (electronic book) |
|
1484282175 (electronic book) |
| Standard No. |
10.1007/978-1-4842-8217-5 doi |
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