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- Дата: 25-01-2023, 15:55
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![Precision Health and Artificial Intelligence: With Privacy, Ethics, Bias, Health Equity, Best Practices, and Case Studies](/uploads/posts/2023-01/1674651309_3611_pr_cision_h_alth_and_artificial_int_llig_nc___with_privacy___thics__bias__h_alth__quity__b_st_practic_s__and_cas__studi_s.jpg)
Автор: Arjun Panesar
Издательство: Apress
Год: 2023
Страниц: 183
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB
This book provides a comprehensive explanation of precision (i.e., personalized) healthcare and explores how it can be advanced through Artificial Intelligence (AI) and other data-driven technologies. From improving the diagnosis, treatment, and monitoring of many medical conditions to the effective implementation of precise patient care, this book will help you understand datasets produced from digital health technologies and IoT and teach you how to employ analytical methods such as convolutional neural networks and Deep Learning to analyze that data. Open-source toolkits support Machine Learning by providing accessible and ready-to-use code for common algorithms. Most are available for Python, the programming language favored for developing Machine Learning algorithms. Scikit-learn is a Python module containing image processing and Machine Learning techniques built on SciPy and enables algorithms for clustering, classification, and regression, such as naïve Bayes, decision trees, random forests, k-means, and support vector machines. NLTK, or Natural Language Toolkit, is a collection of libraries used in natural language processing (NLP).