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Artificial Intelligence in Medical Sciences and Psychology - With Application of Machine Language, Computer Vision, and NLP Techniques (Paperback, 1st ed.)
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Artificial Intelligence in Medical Sciences and Psychology - With Application of Machine Language, Computer Vision, and NLP Techniques (Paperback, 1st ed.)
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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
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