Applied Machine Learning for Healthcare and Life Sciences Using AWS: Transformational AI implementations for biotech, clinical, and healthcare organizations

Build real-world artific雷达 (3)ial intelligence apps on AWS to overcome challenges faced by healthcare providers and payers, as well as pharmaceutical, life sciences research, and commercial organizations

Key Features

• Learn about healthcare industry challenges and how machine learning can solve them
• Explore AWS machine learning services and their applications in healthcare and life sciences
• Discover practical coding instructions to implement machine learning for healthcare and life sciences

Book Description

While machine learning is not new, it’s only now that we are beginning to uncover its true potential in the healthcare an名士表d life sciences industry. The availability of real-world datasets and access to better compute resources have helped researchers invent applications that utilize known AI techniques in eve欧米茄ry segment of this industry, su万宝龙ch as providers, payers, drug discovery, and genomics.

This bcanada Gooseook starts by summari沃利zing the introductory concepts of machine learning and AWS machi欧瑞玺ne learning services. You’ll then go through chapters dedicated to each segment of the healthcare and life sciences industry. Each of these chapters has three key purposes — First, to introduce each segment of the industry, its challenges, and the applications of machine learning relevant to that segment. Second, to help you get to grips with the features of the services available in the AWS machine learning stack like Amazon SageMaker and Amazon Comprehend Medical. Third, to enable you to apply your new skills to create an ML-driven solution to solve problems particular to that segment. The concluding chapters outline future industry trends and applica艾米龙tions.

By the end of this book, you’ll be aware of key challenges faced in applying AI to healthcare and life sciences industry and learn how to address those challenges with confidence.

What you will learn

• Explore the healthcare and life sciences industry
• Find out about the key applications of AI in different industry segments
• Apply AI to medical images, clinical notes, and patient data
• Discover security, privacy, fairness, and explainability best practices
• Explore the AWS ML stack and key AI services for the industry
• Develop practical ML skills using code and AWS services
• Discover all about industry regulatory requirements

Who this book is for

This book is specifically tailored toward technology decision-makers, data scientists, machine learning engineers, and anyone who works in the data engineering role in healthcare and life sciences organizations. Whether you want to apply machine learning to overcome common challenges in the healthcare and life science industry or are looking to understand the broader industry AI trends an西科斯基d landscape, this book is for you. This book is filled with hands-on examples for you to try as you learn about new AWS AI concepts.

中文：

在AWS上构建真实世界的人工智能应用程序，以克服医疗保健提供商和付款人以及制药、生命科学研究和商业组织面临的挑战

主要功能

• 了解医疗行业挑战以及机器学习如何解决这些挑战
• 探索AWS机器学习服务及其在医疗保健和生命科学领域的应用
• 发现实用的编码指令，实现机器学习的医疗保健和生命科学

图书描述

虽然机器学习并不新，但直到现在我们才开始发现它在医疗保健和生命科学行业的真正潜力。现实世界数据集的可用性和对更好计算资源的访问帮助研究人员发明了应用程序，这些应用程序利用了该行业每个领域的已知AI技术，例如提供者，付款人，药物发现和基因组学。

本书首先总结了机器学习和AWS机器学习服务的入门概念。然后，您将浏览专门针对医疗保健和生命科学行业每个领域的章节。这些章节中的每一章都有三个关键目的-首先，介绍行业的每个细分，其挑战以及与宝齐莱该细分相关的机器学习应用。其次，帮助您掌握AWS机器学习堆栈中提供的服务的功能，如Amazon SageMaker和Amazon理解医疗。第三，使您能够运用新技能来创建ML驱动的解决方案，以解决该细分市场特有的问题。最后几章概述了未来的行业趋势和应用。

在本书结束时，您将意识到将AI应用于医疗保健和生命科学行业所面临的关键挑战，并学习如何自信地应对这些挑战。

什么你会学到

• 探索医疗保健和生命科学行业
• 了解人工智能在不同行业领域的关键应用
• 将AI应用于医学图像、临床笔记和患者数据
• 发现安全、隐私、公平和可解释的最佳实践
• 探索AWS ML堆栈和关键AI服务的行业
• 使用代码和AWS服务开发实用的ML技能
• 了解行业监管要求

这本书是为谁准备的

本书专门针对技术决策者，数据科学家，机器学习工程师以及在医疗保健和生命科学组织中担任数据工程角色的任何人量身定制。无论您是想应用机器学习来克服医疗保健和生命科学行业的共同挑战，还是想了解更广泛的行业人工智能趋势和格局，这本书都是为你准备的。这本书充满了实践示例，供您在了解新的AWS AI概念时尝试。