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

Build real-world artificial 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 and 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 every segment of this industry, such as providers, payers, drug discovery, and genomics.

This book starts by summarizing the introductory concepts of machine learning and AWS machine 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 applications.

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 and 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.

在AWS上建立真實世界的人工智慧應用程式，以克服醫療保健提供者、支付者、製藥、生命科學研究和商業組織所面臨的挑戰。

主要特點：
- 了解醫療保健行業的挑戰以及機器學習如何解決這些挑戰
- 探索AWS機器學習服務及其在醫療保健和生命科學領域的應用
- 發現實際的編碼指令，以實現醫療保健和生命科學的機器學習

書籍描述：
雖然機器學習並不新鮮，但我們現在才開始揭示它在醫療保健和生命科學行業中的真正潛力。現實世界數據集的可用性和更好的計算資源幫助研究人員在這個行業的每個領域（如提供者、支付者、藥物發現和基因組學）中發明應用，利用已知的人工智慧技術。

本書首先總結了機器學習和AWS機器學習服務的入門概念。然後，您將通過專門為醫療保健和生命科學行業的每個領域撰寫的章節進行學習。這些章節的每一個都有三個主要目的：首先，介紹行業的每個領域，其挑戰以及與該領域相關的機器學習應用。其次，幫助您熟悉AWS機器學習堆棧中可用服務的功能，如Amazon SageMaker和Amazon Comprehend Medical。第三，使您能夠應用新的技能創建一個以機器學習為驅動的解決方案，以解決該領域特定的問題。最後的章節概述了未來行業趨勢和應用。

通過閱讀本書，您將了解在將人工智慧應用於醫療保健和生命科學行業時所面臨的主要挑戰，並學會如何自信地應對這些挑戰。

您將學到什麼：
- 探索醫療保健和生命科學行業
- 了解不同行業領域中人工智慧的主要應用
- 將人工智慧應用於醫學影像、臨床記錄和患者數據
- 發現安全、隱私、公平和可解釋性的最佳實踐
- 探索AWS機器學習堆棧和行業的關鍵人工智慧服務
- 使用代碼和AWS服務開發實用的機器學習技能
- 了解行業的監管要求

本書適合對技術決策者、數據科學家、機器學習工程師以及在醫療保健和生命科學組織中擔任數據工程角色的人士。無論您是想將機器學習應用於克服醫療保健和生命科學行業中的常見挑戰，還是想了解更廣泛的行業人工智慧趨勢和格局，本書都適合您。本書充滿了實際的示例供您在學習新的AWS人工智慧概念時嘗試。