Artificial Intelligence in Medical Sciences and Psychology
With Application of Machine Language, Computer Vision, and NLP Techniques
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Beschreibung
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
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
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
Autor*in
Tshepo Chris Nokeri
Themen in »Artificial Intelligence in Medical Sciences and Psychology«
Artificial Intelligence Machine Learning Deep Learning Python Medical Sciences Supervised Learning Unsupervised Learning Neural Networks Covid 19 Psychology